Offshore wind farms are becoming increasingly distant from onshore centralized control centers,and the communication delays between them inevitably introduce time delays in the measurement signal of the primary freque...Offshore wind farms are becoming increasingly distant from onshore centralized control centers,and the communication delays between them inevitably introduce time delays in the measurement signal of the primary frequency control.This causes a deterioration in the performance of the primary frequency control and,in some cases,may even result in frequency instability within the power system.Therefore,a frequency response model that incorporates communication delays was established for power systems that integrate offshore wind power.The Padéapproximation was used to model the time delays,and a linearized frequency response model of the power system was derived to investigate the frequency stability under different time delays.The influences of the wind power proportion and frequency control parameters on the system frequency stability were explored.In addition,a Smith delay compensation control strategy was devised to mitigate the effects of communication delays on the system frequency dynamics.Finally,a power system incorporating offshore wind power was constructed using the MATLAB/Simulink platform.The simulation results demonstrate the effectiveness and robustness of the proposed delay compensation control strategy.展开更多
As renewable energy resources increasingly penetrate the electric grid,the inertia capability of power systems has become a developmental bottleneck.Nevertheless,the importance of primary frequency response(PFR)when m...As renewable energy resources increasingly penetrate the electric grid,the inertia capability of power systems has become a developmental bottleneck.Nevertheless,the importance of primary frequency response(PFR)when making generation-expansion plans has been largely ignored.In this paper,we propose an optimal generation-expansion planning framework for wind and thermal power plants that takes PFR into account.The model is based on the frequency equivalent model.It includes investment,startup/shutdown,and typical operating costs for both thermal and renewable generators.The linearization constraints of PFR are derived theoretically.Case studies based on the modified IEEE 39-bus system demonstrate the efficiency and effectiveness of the proposed method.Compared with methods that ignore PFR,the method proposed in this paper can effectively reduce the cost of the entire planning and operation cycle,improving the accommodation rate of renewable energy.展开更多
Gas turbines play core roles in clean energy supply and the construction of comprehensive energy systems.The control performance of primary frequency modulation of gas turbines has a great impact on the frequency cont...Gas turbines play core roles in clean energy supply and the construction of comprehensive energy systems.The control performance of primary frequency modulation of gas turbines has a great impact on the frequency control of the power grid.However,there are some control difficulties in the primary frequency modulation control of gas turbines,such as the coupling effect of the fuel control loop and speed control loop,slow tracking speed,and so on.To relieve the abovementioned difficulties,a control strategy based on the desired dynamic equation proportional integral(DDE-PI)is proposed in this paper.Based on the parameter stability region,a parameter tuning procedure is summarized.Simulation is carried out to address the ease of use and simplicity of the proposed tuning method.Finally,DDE-PI is applied to the primary frequency modulation system of an MS6001B heavy-duty gas turbine.The simulation results indicate that the gas turbine with the proposed strategy can obtain the best control performance with a strong ability to deal with system uncertainties.The proposed method shows good engineering application potential.展开更多
Primary frequency regulation is one of the important regulation means to maintain the stable operation of the power grid, and for a single unit, especially the nuclear power unit, the frequency regulation process is a...Primary frequency regulation is one of the important regulation means to maintain the stable operation of the power grid, and for a single unit, especially the nuclear power unit, the frequency regulation process is an unstable factor. With the increasing capacity of nuclear motor assembly machine, it is bound to shoulder the heavy responsibility of peak shaving and frequency modulation. However, its own particularity determines that it cannot be as flexible as thermal power plants and other power plants in terms of frequency modulation, and it is necessary to find a balance between maintaining the stability of the power grid and the safe and stable operation of units. Taking 650MW nuclear power steam turbine unit as an example, this paper introduces and analyzes in detail the control principle, control process, frequency modulation parameter setting of its primary frequency modulation, as well as the adverse effects of reactor protection actions such as reactor over power that may be caused by transient events and primary frequency modulation process. By taking technical measures such as adjusting the mode of primary frequency modulation operation, we can reduce the impact of external network faults on the unit, summarize the experience of transient disposal, and improve the plan, improve the ability of the main control operator to judge and deal with the transient, so as to ensure that the unit can meet the requirements of the primary frequency modulation response of the power grid on the basis of safe and stable operation.展开更多
Facing the economic challenges of significant frequency regulation wear and tear on thermal power units and short energy storage lifespan in thermal-energy storage combined systems participating in grid primary freque...Facing the economic challenges of significant frequency regulation wear and tear on thermal power units and short energy storage lifespan in thermal-energy storage combined systems participating in grid primary frequency regulation(PFR),this paper proposes a novel hybrid energy storage system(HESS)control strategy based on Newton-Raphson optimization algorithm(NRBO)-VMD and a fuzzy neural network(FNN)for PFR.In the primary power allocation stage,the high inertia and slow response of thermal power units prevent them from promptly responding to the high-frequency components of PFR signals,leading to increased mechanical stress.To address the distinct response characteristics of thermal units and HESS,an NRBO-VMD based decomposition method for PFR signals is proposed,enabling a flexible system response to grid frequency deviations.Within the HESS,an adaptive coordinated control strategy and a State of Charge(SOC)self-recovery strategy are introduced.These strategies autonomously adjust the virtual inertia and droop coefficients based on the depth of frequency regulation and the real-time SOC.Furthermore,a FNN is constructed to perform secondary refinement of the internal power distribution within the HESS.Finally,simulations under various operational conditions demonstrate that the proposed strategy effectively mitigates frequent power adjustments of the thermal unit during PFR,adaptively achieves optimal power decomposition and distribution,maintains the flywheel energy storage’s SOC within an optimal range,and ensures the long-term stable operation of the HESS.展开更多
With increasing adoption of intermittent renewable generation,challenges to maintain stable frequencies for power systems are increasing.Demand-side resources,such as thermostatically controlled loads(TCLs),have been ...With increasing adoption of intermittent renewable generation,challenges to maintain stable frequencies for power systems are increasing.Demand-side resources,such as thermostatically controlled loads(TCLs),have been proven capable of providing regulation services.The district cooling system(DCS),a type of centralized TCL that provides cooling services for a group of buildings,is an ideal resource for this purpose.A DCS usually has significant regulation flexibility because its rated power capacity is large(up to 100 MW)and it can utilize thermal inertia of an aggregation of buildings.However,as a large-scale system with complex thermal dynamics,its effective regulation is nontrivial,and its traditional demanddriven control scheme has difficulty considering regulation signals from power systems.To address these challenges,we propose a bidirectional-driven control scheme in a DCS for the first time.On this basis,we formulate the thermal and electricity model of a DCS in the frequency domain and derive an equivalent model to control it like a traditional generator.Furthermore,we propose a sensitivity-based control strategy for a DCS to allocate mass flow adjustments among buildings,which effectively considers heterogeneity of buildings to balance temperature impacts.Numerical studies illustrate effectiveness of the proposed model and control strategy.展开更多
With the increased penetration of renewable energy sources,the grid-forming(GFM)energy storage(ES)has been considered to engage in primary frequency regulation(PFR),often necessitating the use of a frequency deadband(...With the increased penetration of renewable energy sources,the grid-forming(GFM)energy storage(ES)has been considered to engage in primary frequency regulation(PFR),often necessitating the use of a frequency deadband(FDB)to prevent excessive battery charging cycling and mitigate frequency oscillations.Implementing the FDB is relatively straightforward in grid-following(GFL)control.However,implementing the FDB in GFM control presents a significant challenge since the inverter must abstain from providing active power at any frequency within the FDB.Therefore,in this paper,the performance of PFR control in the GFM-ES inverter is analyzed in detail first.Then,the FDB is implemented for GFM inverters with various types of synchronization methods,and the need for inertia response is also considered.Moreover,given the risk of oscillations near the FDB boundary,different FDB setting methods are proposed and examined,where an improved triangular hysteresis method is proposed to realize the fast response and enhanced stability.Finally,the simulation and experiment results are provided to verify the effectiveness of the above methods.展开更多
Continuous increase of wind power penetration brings high randomness to power system,and also leads to serious shortage of primary frequency regulation(PFR)reserve for power system whose reserve capacity is typically ...Continuous increase of wind power penetration brings high randomness to power system,and also leads to serious shortage of primary frequency regulation(PFR)reserve for power system whose reserve capacity is typically provided by conventional units.Considering large-scale wind power participating in PFR,this paper proposes a unit commitment optimization model with respect to coordination of steady state and transient state.In addition to traditional operation costs,losses of wind farm de-loaded operation,environmental benefits and transient frequency safety costs in high-risk stochastic scenarios are also considered in the model.Besides,the model makes full use of interruptible loads on demand side as one of the PFR reserve sources.A selection method for high-risk scenarios is also proposed to improve the calculation efficiency.Finally,this paper proposes an inner-outer iterative optimization method for the model solution.The method is validated by the New England 10-machine system,and the results show that the optimization model can guarantee both the safety of transient frequency and the economy of system operation.展开更多
There is an increasing interest in exploiting theflexibility of loads to provide ancillary services to the grid.In this paper we study how response delays and lockout constraints affect the controllability of an aggre...There is an increasing interest in exploiting theflexibility of loads to provide ancillary services to the grid.In this paper we study how response delays and lockout constraints affect the controllability of an aggregation of refrigerators offering primary frequency control(PFC).First we examine the effect of delays in PFC provision from an aggregation of refrigerators, using a two-area power system. We propose a framework to systematically address frequency measurement and response delays and we determine safe values for the total delays via simulations. We introduce a controllability index to evaluate PFC provision under lockout constraints of refrigerators compressors. We conduct extensive simulations to study the effects of measurement delay, ramping times, lockout durations and rotational inertia on the controllability of the aggregation and system stability. Finally, we discuss solutions for offering reliable PFC provision from thermostatically controlled loads under lockout constraints and we propose a supervisory control to enhance the robustness of their controllers.展开更多
Battery hybridization in hydropower plants is a hydropower flexibility enhancement technology innovation that can potentially expand hydropower’s contributions to the grid,but its fundamental characteristics and infl...Battery hybridization in hydropower plants is a hydropower flexibility enhancement technology innovation that can potentially expand hydropower’s contributions to the grid,but its fundamental characteristics and influencing mechanisms are still unclear.In this paper,primary frequency regulation(PFR)performance and the mechanism of this new technology are studied.A battery hybridized hydropower plant(BH-HPP)model,based on a field-measured-data-based hydropower plant(HPP)model and a verified battery simplified model,is established.Analysis of system stability and dynamics is undertaken for three different battery control strategies by root locus and participation factor methods.Compared to conventional HPPs,analysis results theoretically reveal BH-HPP can not only accelerate system regulation rapidity but also effectively enlarge HPP stability region during PFR process.Time domain simulation verifies the results and further shows synthetic control has better performance among introduced strategies.Besides,initial design ranges of control parameters considering battery capacity and a renewable energy source scenario case are also discussed.This work could provide theoretical support for flexibility enhancement solutions for hydropower systems.展开更多
Due to their fast response and strong short-term power throughput capacity, electric vehicles(EVs) are promising for providing primary frequency support to power grids. However, due to the complicated charging demands...Due to their fast response and strong short-term power throughput capacity, electric vehicles(EVs) are promising for providing primary frequency support to power grids. However, due to the complicated charging demands of drivers, it is challenging to efficiently utilize the regulation capacity of EV clusters for providing stable primary frequency support to the power grid. Accordingly, this paper proposes an adaptive primary frequency support strategy for EV clusters constrained by the charging-behavior-defined operation area. First, the forced charging boundary of the EV is determined according to the driver's charging behavior, and based on this, the operation area is defined. This ensures full utilization of the available frequency support capacity of the EV. An adaptive primary frequency support strategy of EV clusters is then proposed. The output power of EV is adaptively regulated according to the real-time distance from the EV operating point to the forced charging boundary. With the proposed strategy, when the EV approaches the forced charging boundary, its output power is gradually reduced to zero. Then, the rapid state-of-charge declines of EVs and sudden output power reductions in EV clusters caused by forced charging to meet the driver's charging demands can be effectively avoided. EV clusters can then provide sustainable frequency support to the power grid without violating the driver's charging demands. Simulation results validate the proposed operation-area-constrained adaptive primary frequency support strategy, which outperforms the average strategy in terms of stable output maintenance and the optimal utilization of regulation capacities of EV clusters.展开更多
With the development of new energy,the primary frequency control(PFC)is becoming more and more important and complicated.To improve the reliability of the PFC,an evaluation method of primary frequency control ability(...With the development of new energy,the primary frequency control(PFC)is becoming more and more important and complicated.To improve the reliability of the PFC,an evaluation method of primary frequency control ability(PFCA)was proposed.First,based on the coupling model of the coordinated control system(CCS)and digital electro-hydraulic control system(DEH),principle and control mode of the PFC were introduced in detail.The simulation results showed that the PFC of the CCS and DEH was the most effective control mode.Then,the analysis of the CCS model and variable condition revealed the internal relationship among main steam pressure,valve opening and power.In term of this,the radial basis function(RBF)neural network was established to estimate the PFCA.Because the simulation curves fit well with the actual curves,the accuracy of the coupling model was verified.On this basis,simulation data was produced by coupling model to verify the proposed evaluation method.The low predication error of main steam pressure,power and the PFCA indicated that the method was effective.In addition,the actual data obtained from historical operation data were used to estimate the PFCA accurately,which was the strongest evidence for this method.展开更多
Hybrid multi-terminal direct current(MTDC)transmission technology has been a research focus,and primary frequency regulation(FR)improvement in the receiving-end system is one of the problems to be solved.This paper pr...Hybrid multi-terminal direct current(MTDC)transmission technology has been a research focus,and primary frequency regulation(FR)improvement in the receiving-end system is one of the problems to be solved.This paper presents a decentralized primary FR scheme for hybrid MTDC power systems considering multi-source enhancement to help suppress frequency disturbance in the receiving-end systems.All the converters only need local frequency or DC voltage signal input to respond to system disturbance without communication or a control center,i.e.,a decentralized control scheme.The proposed scheme can activate appropriate power sources to assist in FR in various system disturbance severities with fine-designed thresholds,ensuring sufficient utilization of each power source.To better balance FR performance and FR resource participation,an evaluation index is proposed and the parameter optimization problem is further conducted.Finally,the validity of the proposed scheme is verified by simulations in MATLAB/Simulink.展开更多
The primary frequency response ability plays a crucial role in the rapid recovery and stability of the power grid when the grid is disturbed to generate a power imbalance.In order to predict the primary frequency cont...The primary frequency response ability plays a crucial role in the rapid recovery and stability of the power grid when the grid is disturbed to generate a power imbalance.In order to predict the primary frequency control ability of power system,a new model is proposed based on deep belief networks.The key feature of the proposed model lies in the fact that it considers three key factors,i.e.,disturbance information,system state feature,and unit operation mode.Through this way,it predicts the primary frequency control ability of the power system accurately.The simulation results on real power system data verify the feasibility and accuracy of the proposed model.展开更多
The integration of large-scale renewable energy introduces frequency instability challenges due to inherent intermittency.While doubly-fed pumped storage units(DFPSUs)offer frequency regulation potential in pumping mo...The integration of large-scale renewable energy introduces frequency instability challenges due to inherent intermittency.While doubly-fed pumped storage units(DFPSUs)offer frequency regulation potential in pumping mode,conventional strategies fail to address hydraulic-mechanical coupling dynamics and operational constraints,limiting their effectiveness.This paper presents an innovative primary frequency control strategy for double-fed pumped storage units(DFPSUs)operating in pumpingmode,integrating an adaptive parameter calculation method.This method is constrained by operational speed and power limits,addressing key performance factors.A dynamic model that incorporates the reversible pump-turbine characteristics is developed to translate frequency deviations into coordinated adjustments in speed and power during pumping operations.The research thoroughly analyzes the influence of control parameters on the frequency response dynamics.Additionally,the paper introduces a deep reinforcement learning(DRL)-based optimization framework,which enables real-time tuning of control parameters in response to changing rotor speed and frequency states.This method strategicallymanages the utilization of kinetic energy while ensuring compliance with operational safety constraints.The effectiveness of the proposed strategy is validated through simulation studies conducted on a four-machine,two-area DFPSU system.These studies demonstrate the strategy’s potential for improving frequency regulation performance under a variety of operating conditions,highlighting its effectiveness in optimizing energy storage and frequency control in power grids.展开更多
The configuration of a hybrid energy storage system(HESS)plays a pivotal role in mitigating wind power fluctuations and enabling primary frequency regulation,thereby enhancing the active power support capability of wi...The configuration of a hybrid energy storage system(HESS)plays a pivotal role in mitigating wind power fluctuations and enabling primary frequency regulation,thereby enhancing the active power support capability of wind power integration systems.However,most existing studies on HESS capacity configuration overlook the selfrecovery control of the state of charge(SOC),creating challenges in sustaining capacity during long-term operation.This omission can impair frequency regulation performance,increase capacity requirements,and shorten battery lifespan.To address these challenges,this study proposes a bi-level planning–operation capacity configuration model that explicitly incorporates SOC self-recovery control.In the operation layer,a variable-baseline charging/discharging strategy is developed to restore SOC by balancing positive and negative energy over a 24-h period,with the goal of maximizing daily operational benefits.In the planning layer,the annualized net life-cycle cost of the HESS isminimized by configuring storage capacity based on feedback fromthe operation layer.Thetwo layers operate iteratively to achieve coordinated optimization of capacity sizing and control strategy.Case study results demonstrate the effectiveness of the proposed method.Compared with a configuration without considering SOC self-recovery,the proposed approach reduces the 1-min wind power fluctuation rate to 3.53%,lowers the mean squared frequency error to 0.000084,and decreases the annualized net life-cycle cost by 545,000 CNY/MWh.展开更多
Sound is one of the information carriers often used in animal communication. Sound produced by animals is useful not only in intraspecific communication,but also in alarm or aggression.Three basic problems in hearing ...Sound is one of the information carriers often used in animal communication. Sound produced by animals is useful not only in intraspecific communication,but also in alarm or aggression.Three basic problems in hearing should be resolved i. e. frequency selectivity, pattern recognition and sound direction. With intracellular recording and single cell staining techniques, frequency selectivity of primary auditory neurons in the bushcricket has been studied. Each neuron has its characteristic best frequency (BF) and tuning curve in response to sound. The central projections of their axons in the prothoracic ganglion are unikteral, non - transsegmental and of some corresponding relation to their BFs. Neural mechanisms for frequency analysis in species - specific song recognition of the bushcricket are discussed.展开更多
With the increasing share of wind power,it is expected that wind turbines would provide frequency regulation ancillary service.However,the complex wake effect intensifies the difficulty in controlling wind turbines an...With the increasing share of wind power,it is expected that wind turbines would provide frequency regulation ancillary service.However,the complex wake effect intensifies the difficulty in controlling wind turbines and evaluating the frequency regulation potential from the wind farm.We propose a novel frequency control scheme for doubly-fed induction generator(DFIG)-based wind turbines,in which the wake effect is considered.The proposed control scheme is developed by incorporating the virtual inertia control and primary frequency control in a holistic way.To facilitate frequency regulation in timevarying operation status,the control gains are adaptively adjusted according to wind turbine operation status in the proposed controller.Besides,different kinds of power reserve control approaches are explicitly investigated.Finally,extensive case studies are conducted and simulation results verify that the frequency behavior is significantly improved via the proposed control scheme.展开更多
Heavy renewable penetrations and high-voltage cross-regional transmission systems reduce the inertia and critical frequency stability of power systems after disturbances.Therefore,the power system operators should ens...Heavy renewable penetrations and high-voltage cross-regional transmission systems reduce the inertia and critical frequency stability of power systems after disturbances.Therefore,the power system operators should ensure the frequency nadirs after possible disturbances are within the set restriction,e.g.,0.20 Hz.Traditional methods utilize linearized and simplified control models to quantify the frequency nadirs and achieve frequency-constrained unit commitments(FCUCs).However,the simplified models are hard to depict the frequency responses of practical units after disturbances.Also,they usually neglect the regulations from battery storage.This paper achieves FCUCs with linear rules extracted from massive simulation results.We simulate the frequency responses on typical thermal-hydro-storage systems under diverse unit online conditions.Then,we extract the rules of frequency nadirs after disturbances merely with linear support vector machine to evaluate the frequency stability of power systems.The algorithm holds a high accuracy in a wide range of frequency restrictions.Finally,we apply the rules to three typical cases to show the influences of frequency constraints on unit commitments.展开更多
Large-scale integration of wind power generation decreases the equivalent inertia of a power system, and thus makes frequency stability control challenging. However, given the irregular, nonlinear, and non-stationary ...Large-scale integration of wind power generation decreases the equivalent inertia of a power system, and thus makes frequency stability control challenging. However, given the irregular, nonlinear, and non-stationary characteristics of wind power, significant challenges arise in making wind power generation participate in system frequency regulation. Hence, it is important to explore wind power frequency regulation potential and its uncertainty. This paper proposes an innovative uncertainty modeling method based on mixed skew generalized error distribution for wind power frequency regulation potential. The mapping relationship between wind speed and the associated frequency regulation potential is established, and key parameters of the wind turbine model are identified to predict the wind power frequency regulation potential. Furthermore, the prediction error distribution of the frequency regulation potential is obtained from the mixed skew model. Because of the characteristics of error partition, the error distribution model and predicted values at different wind speed sections are summarized to generate the uncertainty interval of wind power frequency regulation potential. Numerical experiments demonstrate that the proposed model outperforms other state-of-the-art contrastive models in terms of the refined degree of fitting error distribution characteristics. The proposed model only requires the wind speed prediction sequence to accurately model the uncertainty interval. This should be of great significance for rationally optimizing system frequency regulation resources and reducing redundant backup.展开更多
基金the support of the National Natural Science Foundation of China(52077061)Fundamental Research Funds for the Central Universities(B240201121).
文摘Offshore wind farms are becoming increasingly distant from onshore centralized control centers,and the communication delays between them inevitably introduce time delays in the measurement signal of the primary frequency control.This causes a deterioration in the performance of the primary frequency control and,in some cases,may even result in frequency instability within the power system.Therefore,a frequency response model that incorporates communication delays was established for power systems that integrate offshore wind power.The Padéapproximation was used to model the time delays,and a linearized frequency response model of the power system was derived to investigate the frequency stability under different time delays.The influences of the wind power proportion and frequency control parameters on the system frequency stability were explored.In addition,a Smith delay compensation control strategy was devised to mitigate the effects of communication delays on the system frequency dynamics.Finally,a power system incorporating offshore wind power was constructed using the MATLAB/Simulink platform.The simulation results demonstrate the effectiveness and robustness of the proposed delay compensation control strategy.
基金supported in part by the National Natural Science Foundation of China(No.U1966204,51907064).
文摘As renewable energy resources increasingly penetrate the electric grid,the inertia capability of power systems has become a developmental bottleneck.Nevertheless,the importance of primary frequency response(PFR)when making generation-expansion plans has been largely ignored.In this paper,we propose an optimal generation-expansion planning framework for wind and thermal power plants that takes PFR into account.The model is based on the frequency equivalent model.It includes investment,startup/shutdown,and typical operating costs for both thermal and renewable generators.The linearization constraints of PFR are derived theoretically.Case studies based on the modified IEEE 39-bus system demonstrate the efficiency and effectiveness of the proposed method.Compared with methods that ignore PFR,the method proposed in this paper can effectively reduce the cost of the entire planning and operation cycle,improving the accommodation rate of renewable energy.
基金supported by Science and Technology Project of Jiangsu Frontier Electric Technology Co.,Ltd. (Grant Number KJ202004),Gao A.M. (author who received the grant).
文摘Gas turbines play core roles in clean energy supply and the construction of comprehensive energy systems.The control performance of primary frequency modulation of gas turbines has a great impact on the frequency control of the power grid.However,there are some control difficulties in the primary frequency modulation control of gas turbines,such as the coupling effect of the fuel control loop and speed control loop,slow tracking speed,and so on.To relieve the abovementioned difficulties,a control strategy based on the desired dynamic equation proportional integral(DDE-PI)is proposed in this paper.Based on the parameter stability region,a parameter tuning procedure is summarized.Simulation is carried out to address the ease of use and simplicity of the proposed tuning method.Finally,DDE-PI is applied to the primary frequency modulation system of an MS6001B heavy-duty gas turbine.The simulation results indicate that the gas turbine with the proposed strategy can obtain the best control performance with a strong ability to deal with system uncertainties.The proposed method shows good engineering application potential.
文摘Primary frequency regulation is one of the important regulation means to maintain the stable operation of the power grid, and for a single unit, especially the nuclear power unit, the frequency regulation process is an unstable factor. With the increasing capacity of nuclear motor assembly machine, it is bound to shoulder the heavy responsibility of peak shaving and frequency modulation. However, its own particularity determines that it cannot be as flexible as thermal power plants and other power plants in terms of frequency modulation, and it is necessary to find a balance between maintaining the stability of the power grid and the safe and stable operation of units. Taking 650MW nuclear power steam turbine unit as an example, this paper introduces and analyzes in detail the control principle, control process, frequency modulation parameter setting of its primary frequency modulation, as well as the adverse effects of reactor protection actions such as reactor over power that may be caused by transient events and primary frequency modulation process. By taking technical measures such as adjusting the mode of primary frequency modulation operation, we can reduce the impact of external network faults on the unit, summarize the experience of transient disposal, and improve the plan, improve the ability of the main control operator to judge and deal with the transient, so as to ensure that the unit can meet the requirements of the primary frequency modulation response of the power grid on the basis of safe and stable operation.
基金supported by the Lanzhou Science and Technology Plan Project(XM1753694781389).
文摘Facing the economic challenges of significant frequency regulation wear and tear on thermal power units and short energy storage lifespan in thermal-energy storage combined systems participating in grid primary frequency regulation(PFR),this paper proposes a novel hybrid energy storage system(HESS)control strategy based on Newton-Raphson optimization algorithm(NRBO)-VMD and a fuzzy neural network(FNN)for PFR.In the primary power allocation stage,the high inertia and slow response of thermal power units prevent them from promptly responding to the high-frequency components of PFR signals,leading to increased mechanical stress.To address the distinct response characteristics of thermal units and HESS,an NRBO-VMD based decomposition method for PFR signals is proposed,enabling a flexible system response to grid frequency deviations.Within the HESS,an adaptive coordinated control strategy and a State of Charge(SOC)self-recovery strategy are introduced.These strategies autonomously adjust the virtual inertia and droop coefficients based on the depth of frequency regulation and the real-time SOC.Furthermore,a FNN is constructed to perform secondary refinement of the internal power distribution within the HESS.Finally,simulations under various operational conditions demonstrate that the proposed strategy effectively mitigates frequent power adjustments of the thermal unit during PFR,adaptively achieves optimal power decomposition and distribution,maintains the flywheel energy storage’s SOC within an optimal range,and ensures the long-term stable operation of the HESS.
文摘With increasing adoption of intermittent renewable generation,challenges to maintain stable frequencies for power systems are increasing.Demand-side resources,such as thermostatically controlled loads(TCLs),have been proven capable of providing regulation services.The district cooling system(DCS),a type of centralized TCL that provides cooling services for a group of buildings,is an ideal resource for this purpose.A DCS usually has significant regulation flexibility because its rated power capacity is large(up to 100 MW)and it can utilize thermal inertia of an aggregation of buildings.However,as a large-scale system with complex thermal dynamics,its effective regulation is nontrivial,and its traditional demanddriven control scheme has difficulty considering regulation signals from power systems.To address these challenges,we propose a bidirectional-driven control scheme in a DCS for the first time.On this basis,we formulate the thermal and electricity model of a DCS in the frequency domain and derive an equivalent model to control it like a traditional generator.Furthermore,we propose a sensitivity-based control strategy for a DCS to allocate mass flow adjustments among buildings,which effectively considers heterogeneity of buildings to balance temperature impacts.Numerical studies illustrate effectiveness of the proposed model and control strategy.
基金supported by the Science and Technology of State Grid(No.4000-202432066A-1-1-Z)。
文摘With the increased penetration of renewable energy sources,the grid-forming(GFM)energy storage(ES)has been considered to engage in primary frequency regulation(PFR),often necessitating the use of a frequency deadband(FDB)to prevent excessive battery charging cycling and mitigate frequency oscillations.Implementing the FDB is relatively straightforward in grid-following(GFL)control.However,implementing the FDB in GFM control presents a significant challenge since the inverter must abstain from providing active power at any frequency within the FDB.Therefore,in this paper,the performance of PFR control in the GFM-ES inverter is analyzed in detail first.Then,the FDB is implemented for GFM inverters with various types of synchronization methods,and the need for inertia response is also considered.Moreover,given the risk of oscillations near the FDB boundary,different FDB setting methods are proposed and examined,where an improved triangular hysteresis method is proposed to realize the fast response and enhanced stability.Finally,the simulation and experiment results are provided to verify the effectiveness of the above methods.
基金supported by the Six Talent Peaks Project in Jiangsu Province(No.XNY-020)the State Key Laboratory of Smart Grid Protection and Control
文摘Continuous increase of wind power penetration brings high randomness to power system,and also leads to serious shortage of primary frequency regulation(PFR)reserve for power system whose reserve capacity is typically provided by conventional units.Considering large-scale wind power participating in PFR,this paper proposes a unit commitment optimization model with respect to coordination of steady state and transient state.In addition to traditional operation costs,losses of wind farm de-loaded operation,environmental benefits and transient frequency safety costs in high-risk stochastic scenarios are also considered in the model.Besides,the model makes full use of interruptible loads on demand side as one of the PFR reserve sources.A selection method for high-risk scenarios is also proposed to improve the calculation efficiency.Finally,this paper proposes an inner-outer iterative optimization method for the model solution.The method is validated by the New England 10-machine system,and the results show that the optimization model can guarantee both the safety of transient frequency and the economy of system operation.
基金financial support of the EUDP funded project Ecogrid 2.0.financial support of Nano-Tera.ch for the HeatReserves projectthe Swiss Federal Office of Energy and Swisselectric Research for the SmartGrid-Polysun:Design Tool for Local Load Management project
文摘There is an increasing interest in exploiting theflexibility of loads to provide ancillary services to the grid.In this paper we study how response delays and lockout constraints affect the controllability of an aggregation of refrigerators offering primary frequency control(PFC).First we examine the effect of delays in PFC provision from an aggregation of refrigerators, using a two-area power system. We propose a framework to systematically address frequency measurement and response delays and we determine safe values for the total delays via simulations. We introduce a controllability index to evaluate PFC provision under lockout constraints of refrigerators compressors. We conduct extensive simulations to study the effects of measurement delay, ramping times, lockout durations and rotational inertia on the controllability of the aggregation and system stability. Finally, we discuss solutions for offering reliable PFC provision from thermostatically controlled loads under lockout constraints and we propose a supervisory control to enhance the robustness of their controllers.
基金supported in part by the National Natural Science Foundation of China under No.52079096。
文摘Battery hybridization in hydropower plants is a hydropower flexibility enhancement technology innovation that can potentially expand hydropower’s contributions to the grid,but its fundamental characteristics and influencing mechanisms are still unclear.In this paper,primary frequency regulation(PFR)performance and the mechanism of this new technology are studied.A battery hybridized hydropower plant(BH-HPP)model,based on a field-measured-data-based hydropower plant(HPP)model and a verified battery simplified model,is established.Analysis of system stability and dynamics is undertaken for three different battery control strategies by root locus and participation factor methods.Compared to conventional HPPs,analysis results theoretically reveal BH-HPP can not only accelerate system regulation rapidity but also effectively enlarge HPP stability region during PFR process.Time domain simulation verifies the results and further shows synthetic control has better performance among introduced strategies.Besides,initial design ranges of control parameters considering battery capacity and a renewable energy source scenario case are also discussed.This work could provide theoretical support for flexibility enhancement solutions for hydropower systems.
基金supported by the Science and Technology Project of State Grid Corporation of China (No.5100-202199274A-0-0-00)。
文摘Due to their fast response and strong short-term power throughput capacity, electric vehicles(EVs) are promising for providing primary frequency support to power grids. However, due to the complicated charging demands of drivers, it is challenging to efficiently utilize the regulation capacity of EV clusters for providing stable primary frequency support to the power grid. Accordingly, this paper proposes an adaptive primary frequency support strategy for EV clusters constrained by the charging-behavior-defined operation area. First, the forced charging boundary of the EV is determined according to the driver's charging behavior, and based on this, the operation area is defined. This ensures full utilization of the available frequency support capacity of the EV. An adaptive primary frequency support strategy of EV clusters is then proposed. The output power of EV is adaptively regulated according to the real-time distance from the EV operating point to the forced charging boundary. With the proposed strategy, when the EV approaches the forced charging boundary, its output power is gradually reduced to zero. Then, the rapid state-of-charge declines of EVs and sudden output power reductions in EV clusters caused by forced charging to meet the driver's charging demands can be effectively avoided. EV clusters can then provide sustainable frequency support to the power grid without violating the driver's charging demands. Simulation results validate the proposed operation-area-constrained adaptive primary frequency support strategy, which outperforms the average strategy in terms of stable output maintenance and the optimal utilization of regulation capacities of EV clusters.
基金supported by the Electric Power Research Institute of State Grid Corporation of China in Zhejiang province。
文摘With the development of new energy,the primary frequency control(PFC)is becoming more and more important and complicated.To improve the reliability of the PFC,an evaluation method of primary frequency control ability(PFCA)was proposed.First,based on the coupling model of the coordinated control system(CCS)and digital electro-hydraulic control system(DEH),principle and control mode of the PFC were introduced in detail.The simulation results showed that the PFC of the CCS and DEH was the most effective control mode.Then,the analysis of the CCS model and variable condition revealed the internal relationship among main steam pressure,valve opening and power.In term of this,the radial basis function(RBF)neural network was established to estimate the PFCA.Because the simulation curves fit well with the actual curves,the accuracy of the coupling model was verified.On this basis,simulation data was produced by coupling model to verify the proposed evaluation method.The low predication error of main steam pressure,power and the PFCA indicated that the method was effective.In addition,the actual data obtained from historical operation data were used to estimate the PFCA accurately,which was the strongest evidence for this method.
基金supported by the National Natural Science Foundation of China(No.52077196)the Science and Technology Project of State Grid Zhejiang Electric Power Co.,Ltd.(No.5211JY21N001)。
文摘Hybrid multi-terminal direct current(MTDC)transmission technology has been a research focus,and primary frequency regulation(FR)improvement in the receiving-end system is one of the problems to be solved.This paper presents a decentralized primary FR scheme for hybrid MTDC power systems considering multi-source enhancement to help suppress frequency disturbance in the receiving-end systems.All the converters only need local frequency or DC voltage signal input to respond to system disturbance without communication or a control center,i.e.,a decentralized control scheme.The proposed scheme can activate appropriate power sources to assist in FR in various system disturbance severities with fine-designed thresholds,ensuring sufficient utilization of each power source.To better balance FR performance and FR resource participation,an evaluation index is proposed and the parameter optimization problem is further conducted.Finally,the validity of the proposed scheme is verified by simulations in MATLAB/Simulink.
文摘The primary frequency response ability plays a crucial role in the rapid recovery and stability of the power grid when the grid is disturbed to generate a power imbalance.In order to predict the primary frequency control ability of power system,a new model is proposed based on deep belief networks.The key feature of the proposed model lies in the fact that it considers three key factors,i.e.,disturbance information,system state feature,and unit operation mode.Through this way,it predicts the primary frequency control ability of the power system accurately.The simulation results on real power system data verify the feasibility and accuracy of the proposed model.
文摘The integration of large-scale renewable energy introduces frequency instability challenges due to inherent intermittency.While doubly-fed pumped storage units(DFPSUs)offer frequency regulation potential in pumping mode,conventional strategies fail to address hydraulic-mechanical coupling dynamics and operational constraints,limiting their effectiveness.This paper presents an innovative primary frequency control strategy for double-fed pumped storage units(DFPSUs)operating in pumpingmode,integrating an adaptive parameter calculation method.This method is constrained by operational speed and power limits,addressing key performance factors.A dynamic model that incorporates the reversible pump-turbine characteristics is developed to translate frequency deviations into coordinated adjustments in speed and power during pumping operations.The research thoroughly analyzes the influence of control parameters on the frequency response dynamics.Additionally,the paper introduces a deep reinforcement learning(DRL)-based optimization framework,which enables real-time tuning of control parameters in response to changing rotor speed and frequency states.This method strategicallymanages the utilization of kinetic energy while ensuring compliance with operational safety constraints.The effectiveness of the proposed strategy is validated through simulation studies conducted on a four-machine,two-area DFPSU system.These studies demonstrate the strategy’s potential for improving frequency regulation performance under a variety of operating conditions,highlighting its effectiveness in optimizing energy storage and frequency control in power grids.
基金supported by Graduate Research and Innovation Program Project of Nanjing Institute of Technology(No.TB202517022).
文摘The configuration of a hybrid energy storage system(HESS)plays a pivotal role in mitigating wind power fluctuations and enabling primary frequency regulation,thereby enhancing the active power support capability of wind power integration systems.However,most existing studies on HESS capacity configuration overlook the selfrecovery control of the state of charge(SOC),creating challenges in sustaining capacity during long-term operation.This omission can impair frequency regulation performance,increase capacity requirements,and shorten battery lifespan.To address these challenges,this study proposes a bi-level planning–operation capacity configuration model that explicitly incorporates SOC self-recovery control.In the operation layer,a variable-baseline charging/discharging strategy is developed to restore SOC by balancing positive and negative energy over a 24-h period,with the goal of maximizing daily operational benefits.In the planning layer,the annualized net life-cycle cost of the HESS isminimized by configuring storage capacity based on feedback fromthe operation layer.Thetwo layers operate iteratively to achieve coordinated optimization of capacity sizing and control strategy.Case study results demonstrate the effectiveness of the proposed method.Compared with a configuration without considering SOC self-recovery,the proposed approach reduces the 1-min wind power fluctuation rate to 3.53%,lowers the mean squared frequency error to 0.000084,and decreases the annualized net life-cycle cost by 545,000 CNY/MWh.
基金The Project Supported by National Natural Science Foundation of China
文摘Sound is one of the information carriers often used in animal communication. Sound produced by animals is useful not only in intraspecific communication,but also in alarm or aggression.Three basic problems in hearing should be resolved i. e. frequency selectivity, pattern recognition and sound direction. With intracellular recording and single cell staining techniques, frequency selectivity of primary auditory neurons in the bushcricket has been studied. Each neuron has its characteristic best frequency (BF) and tuning curve in response to sound. The central projections of their axons in the prothoracic ganglion are unikteral, non - transsegmental and of some corresponding relation to their BFs. Neural mechanisms for frequency analysis in species - specific song recognition of the bushcricket are discussed.
基金This work was partially supported by Natural Science Foundation of China(No.72071100)Guangdong Basic and Applied Basic Research Fund(No.2019A1515111173)Department of Education of Guangdong Province,and Young Talent Program(No.2018KQNCX223).
文摘With the increasing share of wind power,it is expected that wind turbines would provide frequency regulation ancillary service.However,the complex wake effect intensifies the difficulty in controlling wind turbines and evaluating the frequency regulation potential from the wind farm.We propose a novel frequency control scheme for doubly-fed induction generator(DFIG)-based wind turbines,in which the wake effect is considered.The proposed control scheme is developed by incorporating the virtual inertia control and primary frequency control in a holistic way.To facilitate frequency regulation in timevarying operation status,the control gains are adaptively adjusted according to wind turbine operation status in the proposed controller.Besides,different kinds of power reserve control approaches are explicitly investigated.Finally,extensive case studies are conducted and simulation results verify that the frequency behavior is significantly improved via the proposed control scheme.
基金supported by the research project from China Three Gorges Corporation(No.202103386).
文摘Heavy renewable penetrations and high-voltage cross-regional transmission systems reduce the inertia and critical frequency stability of power systems after disturbances.Therefore,the power system operators should ensure the frequency nadirs after possible disturbances are within the set restriction,e.g.,0.20 Hz.Traditional methods utilize linearized and simplified control models to quantify the frequency nadirs and achieve frequency-constrained unit commitments(FCUCs).However,the simplified models are hard to depict the frequency responses of practical units after disturbances.Also,they usually neglect the regulations from battery storage.This paper achieves FCUCs with linear rules extracted from massive simulation results.We simulate the frequency responses on typical thermal-hydro-storage systems under diverse unit online conditions.Then,we extract the rules of frequency nadirs after disturbances merely with linear support vector machine to evaluate the frequency stability of power systems.The algorithm holds a high accuracy in a wide range of frequency restrictions.Finally,we apply the rules to three typical cases to show the influences of frequency constraints on unit commitments.
基金supported by Science and Technology Project of State Grid Corporation of China(State Grid Jiangsu Electric Power Research Institute Power Coordinated Control Technology Research Service for Energy Storage and New Energy Power Stations in the Black Start Process,Contract Number:SGJSDK00XTJS2000357).
文摘Large-scale integration of wind power generation decreases the equivalent inertia of a power system, and thus makes frequency stability control challenging. However, given the irregular, nonlinear, and non-stationary characteristics of wind power, significant challenges arise in making wind power generation participate in system frequency regulation. Hence, it is important to explore wind power frequency regulation potential and its uncertainty. This paper proposes an innovative uncertainty modeling method based on mixed skew generalized error distribution for wind power frequency regulation potential. The mapping relationship between wind speed and the associated frequency regulation potential is established, and key parameters of the wind turbine model are identified to predict the wind power frequency regulation potential. Furthermore, the prediction error distribution of the frequency regulation potential is obtained from the mixed skew model. Because of the characteristics of error partition, the error distribution model and predicted values at different wind speed sections are summarized to generate the uncertainty interval of wind power frequency regulation potential. Numerical experiments demonstrate that the proposed model outperforms other state-of-the-art contrastive models in terms of the refined degree of fitting error distribution characteristics. The proposed model only requires the wind speed prediction sequence to accurately model the uncertainty interval. This should be of great significance for rationally optimizing system frequency regulation resources and reducing redundant backup.
