In this paper,we propose STPLF,which stands for the short-term forecasting of locational marginal price components,including the forecasting of non-conforming hourly net loads.The volatility of transmission-level hour...In this paper,we propose STPLF,which stands for the short-term forecasting of locational marginal price components,including the forecasting of non-conforming hourly net loads.The volatility of transmission-level hourly locational marginal prices(LMPs)is caused by several factors,including weather data,hourly gas prices,historical hourly loads,and market prices.In addition,variations of non-conforming net loads,which are affected by behind-the-meter distributed energy resources(DERs)and retail customer loads,could have a major impact on the volatility of hourly LMPs,as bulk grid operators have limited visibility of such retail-level resources.We propose a fusion forecasting model for the STPLF,which uses machine learning and deep learning methods to forecast non-conforming loads and respective hourly prices.Additionally,data preprocessing and feature extraction are used to increase the accuracy of the STPLF.The proposed STPLF model also includes a post-processing stage for calculating the probability of hourly LMP spikes.We use a practical set of data to analyze the STPLF results and validate the proposed probabilistic method for calculating the LMP spikes.展开更多
The proliferation of distributed and renewable energy resources introduces additional operational challenges to power distribution systems.Transactive energy management,which allows networked neighborhood communities ...The proliferation of distributed and renewable energy resources introduces additional operational challenges to power distribution systems.Transactive energy management,which allows networked neighborhood communities and houses to trade energy,is expected to be developed as an effective method for accommodating additional uncertainties and security mandates pertaining to distributed energy resources.This paper proposes and analyzes a two-layer transactive energy market in which houses in networked neighborhood community microgrids will trade energy in respective market layers.This paper studies the blockchain applications to satisfy socioeconomic and technological concerns of secure transactive energy management in a two-level power distribution system.The numerical results for practical networked microgrids located at IllinoisTech−Bronzeville in Chicago illustrate the validity of the proposed blockchain-based transactive energy management for devising a distributed,scalable,efficient,and cybersecured power grid operation.The conclusion of the paper summarizes the prospects for blockchain applications to transactive energy management in power distribution systems.展开更多
This paper provides a systematic review on the resilience analysis of active distribution networks(ADNs)against hazardous weather events,considering the underlying cyber-physical interdependencies.As cyber-physical sy...This paper provides a systematic review on the resilience analysis of active distribution networks(ADNs)against hazardous weather events,considering the underlying cyber-physical interdependencies.As cyber-physical systems,ADNs are characterized by widespread structural and functional interdependen-cies between cyber(communication,computing,and control)and physical(electric power)subsystems and thus present complex hazardous-weather-related resilience issues.To bridge current research gaps,this paper first classifies diverse hazardous weather events for ADNs according to different time spans and degrees of hazard,with model-based and data-driven methods being utilized to characterize weather evolutions.Then,the adverse impacts of hazardous weather on all aspects of ADNs’sources,physical/cyber networks,and loads are analyzed.This paper further emphasizes the importance of situational awareness and cyber-physical collaboration throughout hazardous weather events,as these enhance the implementation of preventive dispatches,corrective actions,and coordinated restorations.In addition,a generalized quantitative resilience evaluation process is proposed regarding additional considerations about cyber subsystems and cyber-physical connections.Finally,potential hazardous-weather-related resilience challenges for both physical and cyber subsystems are discussed.展开更多
微电网作为智能电网的一个组成部分,是自主可控的局部电力系统。微电网主控制器综合考虑了通信、控制和管理功能,在微电网经济和安全运行方面发挥着重要的作用。本文介绍了IIT微电网主控制器的设计与运行原理,讨论了智能电网的优点。在...微电网作为智能电网的一个组成部分,是自主可控的局部电力系统。微电网主控制器综合考虑了通信、控制和管理功能,在微电网经济和安全运行方面发挥着重要的作用。本文介绍了IIT微电网主控制器的设计与运行原理,讨论了智能电网的优点。在介绍IIT(Illinois Institute of Technology)微电网控制器控制体系层级的基础上,讨论了测试IIT微电网主控制器的详细过程和实验室设置。最后也指出了由微电网主控制器带来的潜在影响,如软件化网络技术的出现和网络化微电网和能源枢纽的发展。展开更多
On the power supply side,renewable energy(RE)is an important substitute to traditional energy,the effective utilization of which has become one of the major challenges in risk-constrained power system operations.This ...On the power supply side,renewable energy(RE)is an important substitute to traditional energy,the effective utilization of which has become one of the major challenges in risk-constrained power system operations.This paper proposes a risk-based power dispatching strategy considering the demand response(DR)and RE utilization in the stochastic optimal scheduling of parallel manufacturing process(PMP)in industrial manufacturing enterprises(IME).First,the specific production behavior model of PMP is formulated to characterize the flexibility of power demand.Then,a two-step strategic model is proposed to comprehensively quantify multiple factors in the optimal scheduling of DR in PMP loads considering risk-based power system dispatch,thermal generators,wind power integration.Case studies are based on the modified IEEE 24-bus power system,which verify the effectiveness of the proposed strategy in optimally coordinating IME assets with generation resources for promoting the RE utilization,as well as the impacts of power transmission risk on decision performance.展开更多
The proliferation of distributed energy resources(DERs)and the large-scale electrification of transportation are driving forces behind the ongoing evolution for transforming traditionally passive consumers into prosum...The proliferation of distributed energy resources(DERs)and the large-scale electrification of transportation are driving forces behind the ongoing evolution for transforming traditionally passive consumers into prosumers(both consumers and producers)in coordinated power distribution network(PDN)and urban transportation network(UTN).In this new paradigm,peer-to-peer(P2P)energy trading is a promising energy management strategy for dynamically balancing the supply and demand in elec-tricity markets.In this paper,we propose the application of Blockchain(BC)to electric vehicle charging station(EVCS)op-erations to optimally transact energy in a hierarchical P2P framework.In the proposed framework,a decentralised privacy-preserving clearing mechanism is implemented in the transactive energy market(TEM)in which BC's smart contracts are applied in a coordinated PDN and UTN operation.The effectiveness of the proposed TEM and its solution approach are validated via numerical simulations which are performed on a modified IEEE 123-bus PDN and a modified Sioux Falls UTN.展开更多
The integrated electricity-heat-hydrogen system(IEHHS)facilitates the efficient utilization of multiple energy sources,while the operational flexibility of IEHHS is hindered by the high heat inertia of alkaline electr...The integrated electricity-heat-hydrogen system(IEHHS)facilitates the efficient utilization of multiple energy sources,while the operational flexibility of IEHHS is hindered by the high heat inertia of alkaline electrolyzers(AELs)and the variations of renewable energy.In this paper,we propose a robust scheduling of IEHHS considering the bidirectional heat exchange(BHE)between AELs and district heating networks(DHNs).First,we propose an IEHHS model to coordinate the operations of AELs,active distribution networks(ADNs),and DHNs.In particular,we propose a BHE that not only enables the waste heat recovery for district heating but also accelerates the thermal dynamics in AELs.Then,we formulate a two-stage robust optimization(RO)problem for the IEHHS operation to consider the variability of renewable energy in ADNs.We propose a new solution method,i.e.,multi-affine decision rule(MADR),to solve the two-stage RO problem with less conservatism.The simulation results show that the operational flexibility of IEHHS with BHE is remarkably improved compared with that only with unidirectional heat exchange(UHE).Compared with the traditional affine decision rule(ADR),the MADR effectively reduces the IEHHS operating costs while guaranteeing the reliability of scheduling strategies.展开更多
Thermostatically controlled loads(TCLs)have huge thermal inertia and are promising resources to promote consumption of renewable energy sources(RESs)for carbon reduction.Thus,this paper employs the virtual power plant...Thermostatically controlled loads(TCLs)have huge thermal inertia and are promising resources to promote consumption of renewable energy sources(RESs)for carbon reduction.Thus,this paper employs the virtual power plant(VPP)to regulate TCLs to address problems caused by RESs.Specifically,a two-stage VPP scheduling framework based on multi-time scale coordinated control of TCLs is proposed to address forecast errors of variable RES power output.In the first stage(hour time scale),TCLs are controlled as virtual generators to mitigate forecast errors between hour-ahead and day-ahead RES power.In the second stage(minute time scale),TCLs are regulated as virtual batteries to mitigate forecast errors between intra-hour and hour-ahead RES power.To respect wills and preferences of end-users,a transactive energy(TE)market within VPP is built to guide TCL behaviors via the price mechanism.Moreover,a stochastic VPP schedule using the Wassersteinmetric-based distributionally robust optimization method is developed to consider RES power uncertainties,and its solution process is transformed into a computationally tractable mixedinteger linear programming problem based on the affine decision rule and duality theory.The proposed method is effectively validated by comparison with robust optimization and stochastic optimization.Simulation results demonstrate the proposed twostage VPP scheduling method employs TCL flexibilities more comprehensively to mitigate RES output power forecast errors in VPP operations.展开更多
This paper proposes a resilient restoration method for low-inertia networked microgrids(NMGs)dominated with inverter-based energy resources(IBERs).First,a frequency dynamics-aware NMG restoration model is developed,in...This paper proposes a resilient restoration method for low-inertia networked microgrids(NMGs)dominated with inverter-based energy resources(IBERs).First,a frequency dynamics-aware NMG restoration model is developed,integrating a unified frequency control response framework that accommodates various control strategies while ensuring the system stability during restoration.Case studies for a low-inertia NMG demonstrate the effectiveness of the proposed method.Numerical results show that different IBER control methods could have a significant impact on restoration efficiency and economic losses.Additionally,strict frequency security requirements can predominantly increase the restoration time,calling for a critical trade-off between maintaining network security margins and restoration time for enhancing the resilience of low-inertia NMGs dominated with IBERs.展开更多
The increasing integration of variable wind generation has aggravated the imbalance between electricity supply and demand. Power-to-hydrogen(P2H) is a promising solution to balance supply and demand in a variable powe...The increasing integration of variable wind generation has aggravated the imbalance between electricity supply and demand. Power-to-hydrogen(P2H) is a promising solution to balance supply and demand in a variable power grid, in which excess wind power is converted into hydrogen via electrolysis and stored for later use. In this study, an energy hub(EH) with both a P2H facility(electrolyzer) and a gas-to-power(G2P) facility(hydrogen gas turbine) is proposed to accommodate a high penetration of wind power. The EH is modeled and integrated into a security-constrained unit commitment(SCUC) problem, and this optimization problem is solved by a mixed-integer linear programming(MILP) method with the Benders decomposition technique. Case studies are presented to validate the proposed model and elaborate on the technological potential of integrating P2H into a power system with a high level of wind penetration(HWP).展开更多
The increasing interdependency of electricity and natural gas systems promotes coordination of the two systems for ensuring operational security and economics.This paper proposes a robust day-ahead scheduling model fo...The increasing interdependency of electricity and natural gas systems promotes coordination of the two systems for ensuring operational security and economics.This paper proposes a robust day-ahead scheduling model for the optimal coordinated operation of integrated energy systems while considering key uncertainties of the power system and natural gas system operation cost. Energy hub,with collocated gas-fired units, power-to-gas(Pt G) facilities, and natural gas storages, is considered to store or convert one type of energy(i.e., electricity or natural gas)into the other form, which could analogously function as large-scale electrical energy storages. The column-andconstraint generation(C&CG) is adopted to solve the proposed integrated robust model, in which nonlinear natural gas network constraints are reformulated via a set of linear constraints. Numerical experiments signify the effectiveness of the proposed model for handling volatile electrical loads and renewable generations via the coordinated scheduling of electricity and natural gas systems.展开更多
The existing microgrid operation schemes do not consider the dynamic performance of frequency in the islanded operation of microgrids.When an islanded microgrid encounters a disturbance,the sudden power mismatch could...The existing microgrid operation schemes do not consider the dynamic performance of frequency in the islanded operation of microgrids.When an islanded microgrid encounters a disturbance,the sudden power mismatch could impose security risks or even a system collapse.To address such a challenge,this paper proposes the primary frequency response rescheduling(PFRR)approach.For a certain operation interval,the PFRR will optimally reschedule the distributed generators(DGs)with non-zero mechanical inertia and adjust the battery power.And the objective is to limit the rate-of-change-of-frequency(ROCOF)and to maintain the post-disturbance frequency nadir above a prescribed threshold.The effectiveness of the proposed strategy is verified by a case study on the IEEE 123-node test feeder system and the timedomain simulation in MATLAB Simulink.展开更多
Microgrid(MG)is a small-scale,self-sufficient power system that accommodates various distributed energy resources(DERs),controllable loads,and future distribution systems.Networked microgrids(NMGs)are clusters of MGs,...Microgrid(MG)is a small-scale,self-sufficient power system that accommodates various distributed energy resources(DERs),controllable loads,and future distribution systems.Networked microgrids(NMGs)are clusters of MGs,which are physically interconnected and functionally coordinated to enhance distribution systems in terms of economics,resilience,and reliability.This paper introduces the architecture and control of NMGs including nanogrid(NG)and MG.To accommodate variable DERs in NMGs,master and distributed control strategies are adopted to manage the high penetration of DERs,where master control focuses on economic operation,while distributed control focuses on reliability and resilience through active power sharing and voltage and frequency regulation.The initial practices of NG,MG,and NMG in the networked Illinois Institute of Technology(IIT)campus microgrid(ICM)and Bronzeville community microgrid(BCM)in the U.S.are presented.The applications of the master and distributed control strategies are illustrated for the networked ICM-BCM to show their benefits to economics,resilience,and reliability.展开更多
Decarbonizing power systems is crucial to mitigating climate change impacts and achieving carbon neutrality.Increasing renewable energy supply can reduce greenhouse gas emissions and accelerate the decarbonization pro...Decarbonizing power systems is crucial to mitigating climate change impacts and achieving carbon neutrality.Increasing renewable energy supply can reduce greenhouse gas emissions and accelerate the decarbonization process.However,renewable energy sources(RESs)such as wind and solar power are characterized by intermittency and often non-dispatchability,significantly challenging their high-level integration into power systems.Energy storage is acknowledged as a vital indispensable solution for mitigating the intermittency of renewables such as wind and solar power and boosting the penetrations of renewables.In the CSEE JPES Forum,five well-known experts were invited to give keynote speeches,and the participating experts and scholars had comprehensive exchanges and discussions on energy storage technologies.Specifically,the views on the design,control,performance,and applications of new energy storage technologies,such as the fuel cell vehicle,water electrolysis,and flow battery,in the coordination and operation of power and energy systems were analyzed.The experts also provided experience that could be used to develop energy storage for constructing and decarbonizing new power systems.展开更多
基金funded in part by Grant No.DF-091-135-1441 from the Deanship of Scientific Research(DSR)at King Abdulaziz University in Saudi Arabia.
文摘In this paper,we propose STPLF,which stands for the short-term forecasting of locational marginal price components,including the forecasting of non-conforming hourly net loads.The volatility of transmission-level hourly locational marginal prices(LMPs)is caused by several factors,including weather data,hourly gas prices,historical hourly loads,and market prices.In addition,variations of non-conforming net loads,which are affected by behind-the-meter distributed energy resources(DERs)and retail customer loads,could have a major impact on the volatility of hourly LMPs,as bulk grid operators have limited visibility of such retail-level resources.We propose a fusion forecasting model for the STPLF,which uses machine learning and deep learning methods to forecast non-conforming loads and respective hourly prices.Additionally,data preprocessing and feature extraction are used to increase the accuracy of the STPLF.The proposed STPLF model also includes a post-processing stage for calculating the probability of hourly LMP spikes.We use a practical set of data to analyze the STPLF results and validate the proposed probabilistic method for calculating the LMP spikes.
基金funded in part by Grant No.RG-15-135-43 from the Deanship of Scientific Research(DSR)at King Abdulaziz University in Saudi Arabia.
文摘The proliferation of distributed and renewable energy resources introduces additional operational challenges to power distribution systems.Transactive energy management,which allows networked neighborhood communities and houses to trade energy,is expected to be developed as an effective method for accommodating additional uncertainties and security mandates pertaining to distributed energy resources.This paper proposes and analyzes a two-layer transactive energy market in which houses in networked neighborhood community microgrids will trade energy in respective market layers.This paper studies the blockchain applications to satisfy socioeconomic and technological concerns of secure transactive energy management in a two-level power distribution system.The numerical results for practical networked microgrids located at IllinoisTech−Bronzeville in Chicago illustrate the validity of the proposed blockchain-based transactive energy management for devising a distributed,scalable,efficient,and cybersecured power grid operation.The conclusion of the paper summarizes the prospects for blockchain applications to transactive energy management in power distribution systems.
基金supported by the National Natural Science Foundation of China(52477132 and U2066601).
文摘This paper provides a systematic review on the resilience analysis of active distribution networks(ADNs)against hazardous weather events,considering the underlying cyber-physical interdependencies.As cyber-physical systems,ADNs are characterized by widespread structural and functional interdependen-cies between cyber(communication,computing,and control)and physical(electric power)subsystems and thus present complex hazardous-weather-related resilience issues.To bridge current research gaps,this paper first classifies diverse hazardous weather events for ADNs according to different time spans and degrees of hazard,with model-based and data-driven methods being utilized to characterize weather evolutions.Then,the adverse impacts of hazardous weather on all aspects of ADNs’sources,physical/cyber networks,and loads are analyzed.This paper further emphasizes the importance of situational awareness and cyber-physical collaboration throughout hazardous weather events,as these enhance the implementation of preventive dispatches,corrective actions,and coordinated restorations.In addition,a generalized quantitative resilience evaluation process is proposed regarding additional considerations about cyber subsystems and cyber-physical connections.Finally,potential hazardous-weather-related resilience challenges for both physical and cyber subsystems are discussed.
文摘微电网作为智能电网的一个组成部分,是自主可控的局部电力系统。微电网主控制器综合考虑了通信、控制和管理功能,在微电网经济和安全运行方面发挥着重要的作用。本文介绍了IIT微电网主控制器的设计与运行原理,讨论了智能电网的优点。在介绍IIT(Illinois Institute of Technology)微电网控制器控制体系层级的基础上,讨论了测试IIT微电网主控制器的详细过程和实验室设置。最后也指出了由微电网主控制器带来的潜在影响,如软件化网络技术的出现和网络化微电网和能源枢纽的发展。
基金supported by National Natural Science Foundation of China(Grant 62422308).
文摘On the power supply side,renewable energy(RE)is an important substitute to traditional energy,the effective utilization of which has become one of the major challenges in risk-constrained power system operations.This paper proposes a risk-based power dispatching strategy considering the demand response(DR)and RE utilization in the stochastic optimal scheduling of parallel manufacturing process(PMP)in industrial manufacturing enterprises(IME).First,the specific production behavior model of PMP is formulated to characterize the flexibility of power demand.Then,a two-step strategic model is proposed to comprehensively quantify multiple factors in the optimal scheduling of DR in PMP loads considering risk-based power system dispatch,thermal generators,wind power integration.Case studies are based on the modified IEEE 24-bus power system,which verify the effectiveness of the proposed strategy in optimally coordinating IME assets with generation resources for promoting the RE utilization,as well as the impacts of power transmission risk on decision performance.
基金funded in part by the Grant No.RG-15-135-43 from the Deanship of Scientific Research(DSR)at King Abdulaziz University in Saudi Arabia.
文摘The proliferation of distributed energy resources(DERs)and the large-scale electrification of transportation are driving forces behind the ongoing evolution for transforming traditionally passive consumers into prosumers(both consumers and producers)in coordinated power distribution network(PDN)and urban transportation network(UTN).In this new paradigm,peer-to-peer(P2P)energy trading is a promising energy management strategy for dynamically balancing the supply and demand in elec-tricity markets.In this paper,we propose the application of Blockchain(BC)to electric vehicle charging station(EVCS)op-erations to optimally transact energy in a hierarchical P2P framework.In the proposed framework,a decentralised privacy-preserving clearing mechanism is implemented in the transactive energy market(TEM)in which BC's smart contracts are applied in a coordinated PDN and UTN operation.The effectiveness of the proposed TEM and its solution approach are validated via numerical simulations which are performed on a modified IEEE 123-bus PDN and a modified Sioux Falls UTN.
基金supported by the Science and Technology Project of State Grid“Research and Application of Wide Area Multi energy Storage Collaborative Optimization and Control Technology in Provincial Power Grid”.
文摘The integrated electricity-heat-hydrogen system(IEHHS)facilitates the efficient utilization of multiple energy sources,while the operational flexibility of IEHHS is hindered by the high heat inertia of alkaline electrolyzers(AELs)and the variations of renewable energy.In this paper,we propose a robust scheduling of IEHHS considering the bidirectional heat exchange(BHE)between AELs and district heating networks(DHNs).First,we propose an IEHHS model to coordinate the operations of AELs,active distribution networks(ADNs),and DHNs.In particular,we propose a BHE that not only enables the waste heat recovery for district heating but also accelerates the thermal dynamics in AELs.Then,we formulate a two-stage robust optimization(RO)problem for the IEHHS operation to consider the variability of renewable energy in ADNs.We propose a new solution method,i.e.,multi-affine decision rule(MADR),to solve the two-stage RO problem with less conservatism.The simulation results show that the operational flexibility of IEHHS with BHE is remarkably improved compared with that only with unidirectional heat exchange(UHE).Compared with the traditional affine decision rule(ADR),the MADR effectively reduces the IEHHS operating costs while guaranteeing the reliability of scheduling strategies.
基金supported by the National Natural Science Foundation of China(52007030,52077136)Young Elite Scientists Sponsorship Program by Jiangsu Association for Scienceand Technology(TJ-2022-042).
文摘Thermostatically controlled loads(TCLs)have huge thermal inertia and are promising resources to promote consumption of renewable energy sources(RESs)for carbon reduction.Thus,this paper employs the virtual power plant(VPP)to regulate TCLs to address problems caused by RESs.Specifically,a two-stage VPP scheduling framework based on multi-time scale coordinated control of TCLs is proposed to address forecast errors of variable RES power output.In the first stage(hour time scale),TCLs are controlled as virtual generators to mitigate forecast errors between hour-ahead and day-ahead RES power.In the second stage(minute time scale),TCLs are regulated as virtual batteries to mitigate forecast errors between intra-hour and hour-ahead RES power.To respect wills and preferences of end-users,a transactive energy(TE)market within VPP is built to guide TCL behaviors via the price mechanism.Moreover,a stochastic VPP schedule using the Wassersteinmetric-based distributionally robust optimization method is developed to consider RES power uncertainties,and its solution process is transformed into a computationally tractable mixedinteger linear programming problem based on the affine decision rule and duality theory.The proposed method is effectively validated by comparison with robust optimization and stochastic optimization.Simulation results demonstrate the proposed twostage VPP scheduling method employs TCL flexibilities more comprehensively to mitigate RES output power forecast errors in VPP operations.
基金supported by the National Key Research and Development Program of China(No.2022YFB2403100).
文摘This paper proposes a resilient restoration method for low-inertia networked microgrids(NMGs)dominated with inverter-based energy resources(IBERs).First,a frequency dynamics-aware NMG restoration model is developed,integrating a unified frequency control response framework that accommodates various control strategies while ensuring the system stability during restoration.Case studies for a low-inertia NMG demonstrate the effectiveness of the proposed method.Numerical results show that different IBER control methods could have a significant impact on restoration efficiency and economic losses.Additionally,strict frequency security requirements can predominantly increase the restoration time,calling for a critical trade-off between maintaining network security margins and restoration time for enhancing the resilience of low-inertia NMGs dominated with IBERs.
基金supported by National Natural Science Foundation of China(No.51377035)NSFC-RCUK_EPSRC(No.51361130153)
文摘The increasing integration of variable wind generation has aggravated the imbalance between electricity supply and demand. Power-to-hydrogen(P2H) is a promising solution to balance supply and demand in a variable power grid, in which excess wind power is converted into hydrogen via electrolysis and stored for later use. In this study, an energy hub(EH) with both a P2H facility(electrolyzer) and a gas-to-power(G2P) facility(hydrogen gas turbine) is proposed to accommodate a high penetration of wind power. The EH is modeled and integrated into a security-constrained unit commitment(SCUC) problem, and this optimization problem is solved by a mixed-integer linear programming(MILP) method with the Benders decomposition technique. Case studies are presented to validate the proposed model and elaborate on the technological potential of integrating P2H into a power system with a high level of wind penetration(HWP).
基金supported in part by the U.S.National Science Foundation Grant(No.CMMI-1635339)
文摘The increasing interdependency of electricity and natural gas systems promotes coordination of the two systems for ensuring operational security and economics.This paper proposes a robust day-ahead scheduling model for the optimal coordinated operation of integrated energy systems while considering key uncertainties of the power system and natural gas system operation cost. Energy hub,with collocated gas-fired units, power-to-gas(Pt G) facilities, and natural gas storages, is considered to store or convert one type of energy(i.e., electricity or natural gas)into the other form, which could analogously function as large-scale electrical energy storages. The column-andconstraint generation(C&CG) is adopted to solve the proposed integrated robust model, in which nonlinear natural gas network constraints are reformulated via a set of linear constraints. Numerical experiments signify the effectiveness of the proposed model for handling volatile electrical loads and renewable generations via the coordinated scheduling of electricity and natural gas systems.
文摘The existing microgrid operation schemes do not consider the dynamic performance of frequency in the islanded operation of microgrids.When an islanded microgrid encounters a disturbance,the sudden power mismatch could impose security risks or even a system collapse.To address such a challenge,this paper proposes the primary frequency response rescheduling(PFRR)approach.For a certain operation interval,the PFRR will optimally reschedule the distributed generators(DGs)with non-zero mechanical inertia and adjust the battery power.And the objective is to limit the rate-of-change-of-frequency(ROCOF)and to maintain the post-disturbance frequency nadir above a prescribed threshold.The effectiveness of the proposed strategy is verified by a case study on the IEEE 123-node test feeder system and the timedomain simulation in MATLAB Simulink.
文摘Microgrid(MG)is a small-scale,self-sufficient power system that accommodates various distributed energy resources(DERs),controllable loads,and future distribution systems.Networked microgrids(NMGs)are clusters of MGs,which are physically interconnected and functionally coordinated to enhance distribution systems in terms of economics,resilience,and reliability.This paper introduces the architecture and control of NMGs including nanogrid(NG)and MG.To accommodate variable DERs in NMGs,master and distributed control strategies are adopted to manage the high penetration of DERs,where master control focuses on economic operation,while distributed control focuses on reliability and resilience through active power sharing and voltage and frequency regulation.The initial practices of NG,MG,and NMG in the networked Illinois Institute of Technology(IIT)campus microgrid(ICM)and Bronzeville community microgrid(BCM)in the U.S.are presented.The applications of the master and distributed control strategies are illustrated for the networked ICM-BCM to show their benefits to economics,resilience,and reliability.
文摘Decarbonizing power systems is crucial to mitigating climate change impacts and achieving carbon neutrality.Increasing renewable energy supply can reduce greenhouse gas emissions and accelerate the decarbonization process.However,renewable energy sources(RESs)such as wind and solar power are characterized by intermittency and often non-dispatchability,significantly challenging their high-level integration into power systems.Energy storage is acknowledged as a vital indispensable solution for mitigating the intermittency of renewables such as wind and solar power and boosting the penetrations of renewables.In the CSEE JPES Forum,five well-known experts were invited to give keynote speeches,and the participating experts and scholars had comprehensive exchanges and discussions on energy storage technologies.Specifically,the views on the design,control,performance,and applications of new energy storage technologies,such as the fuel cell vehicle,water electrolysis,and flow battery,in the coordination and operation of power and energy systems were analyzed.The experts also provided experience that could be used to develop energy storage for constructing and decarbonizing new power systems.
