This experimental analysis shows the measured reduction in energy consumption as well as the effects of voltage on cycle temperatures, pressures, flow rates and also compressor speed （revolutions per minute）. The do...This experimental analysis shows the measured reduction in energy consumption as well as the effects of voltage on cycle temperatures, pressures, flow rates and also compressor speed （revolutions per minute）. The domestic refrigerator used R134a as refrigerant. Two energy consumption procedures were adapted from the JIS and ISO standards. The biggest difference between two standards is that the fridge is not opened in the ISO test while it is opened a number of times in the JIS test. The tests were carried out between 190 V and 250 V in steps of 10 V. The reduction in energy consumption was of 49.78 W-h per day or 6.27% of the total consumption. The experiments also showed that the voltage drop resulted in only a small rpm drop which in turn did not result in a noticeable refrigerant flow-rate change. Consequently the temperatures and pressures were not affected.展开更多
In addressing voltage overruns and line lossesin distribution networks with a high percentage of distributed photovoltaic(PV)connections,traditional on-load regulator transformers can achieve only fixed-step voltage r...In addressing voltage overruns and line lossesin distribution networks with a high percentage of distributed photovoltaic(PV)connections,traditional on-load regulator transformers can achieve only fixed-step voltage regulation and have a limited switching lifespan.Consequently,a discrete-continuous two-layer optimization methodology for distribution networks,which accounts for power-converter-embeddedhybrid on-load regulator transformers,has been proposed to adapt to rapid stochastic fluctuations associatedwith distribution networks having a high percentage of PV access.In the discrete layer,the mechanical ratio is employed as the decision variable at each moment.In the continuous layer,the power electronic converterratio,STATCOM compensation capacity,and energy storage charging and discharging power are utilized as decision variables at each moment.Acomposite optimal allocation model is established with an integrated objective function comprising the PV consumption rate,operating costs,and line losses,while simultaneously ensuring that the voltage at each node remains within the prescribed limits.Based on this model,an improved particle swarm algorithm is employed to determine the optimalconfiguration.Finally,the efficacy of the proposed method is validated through enhancements of the IEEE33node system example.展开更多
The power loss minimization and DC voltage stability of the multi-terminal direct current(MTDC)system with large-scale wind farm(WF)cluster affect the stability and power quality of the interconnected power grid.This ...The power loss minimization and DC voltage stability of the multi-terminal direct current(MTDC)system with large-scale wind farm(WF)cluster affect the stability and power quality of the interconnected power grid.This paper proposes a distributed optimal voltage control(DOVC)strategy,which aims to optimize voltage distribution in MTDC and WF systems,reduce system power losses,and track power dispatch commands.The proposed DOVC strategy employs a bi-level distributed control architecture.At the upper level,the MTDC controller coordinates power flow,DC-side voltage of grid-side voltage source converters(GSVSCs),and WF-side voltage source converters(WFVSCs)for power loss minimization and DC voltage stabilization of the MTDC system.At the lower level,the WF controller coordinates the controlled bus voltage of WFVSC and the active and reactive power of wind turbines(WTs)to maintain WT terminal voltages within feasible range.Then,the WF controller minimizes the power loss of the WF system,while tracking the optimal command from the upper-level control strategy.Considering the computational tasks of multi-objective optimization with large-scale WF cluster,the proposed DOVC strategy is executed in a distributed manner based on the alternating direction method of multipliers(ADMM).An MTDC system with large-scale WF cluster is established in MATLAB to validate the effectiveness of the proposed DOVC strategy.展开更多
With the development of More Electric Aircraft(MEA),the Permanent Magnet Synchronous Motor(PMSM)is widely used in the MEA field.The PMSM control system of MEA needs to consider the system reliability,and the inverter ...With the development of More Electric Aircraft(MEA),the Permanent Magnet Synchronous Motor(PMSM)is widely used in the MEA field.The PMSM control system of MEA needs to consider the system reliability,and the inverter switching frequency of the inverter is one of the impacting factors.At the same time,the control accuracy of the system also needs to be considered,and the torque ripple and flux ripple are usually considered to be its important indexes.This paper proposes a three-stage series Model Predictive Torque and Flux Control system(three-stage series MPTFC)based on fast optimal voltage vector selection to reduce switching frequency and suppress torque ripple and flux ripple.Firstly,the analytical model of the PMSM is established and the multi-stage series control method is used to reduce the switching frequency.Secondly,selectable voltage vectors are extended from 8 to 26 and a fast selection method for optimal voltage vector sectors is designed based on the hysteresis comparator,which can suppress the torque ripple and flux ripple to improve the control accuracy.Thirdly,a three-stage series control is obtained by expanding the two-stage series control using the P-Q torque decomposition theory.Finally,a model predictive torque and flux control experimental platform is built,and the feasibility and effectiveness of this method are verified through comparison experiments.展开更多
The penetration of distributed energy resources(DERs) and energy-intensive resources is gradually increasing in active distribution networks(ADNs), which leads to frequent and severe voltage violation problems. As a d...The penetration of distributed energy resources(DERs) and energy-intensive resources is gradually increasing in active distribution networks(ADNs), which leads to frequent and severe voltage violation problems. As a densely distributed flexible resource in the future distribution network, 5G base station(BS) backup battery is used to regulate the voltage profile of ADN in this paper. First, the dispatchable potential of 5G BS backup batteries is analyzed. Considering the spatial-temporal characteristics of electric load for 5G BS, the dispatchable capacity of backup batteries at different time intervals is evaluated based on historical heat map data. Then, a voltage profile optimization model for ADN is established, consisting of 5G BS backup batteries and other voltage regulation resources. In this model, the charging/discharging behavior of backup batteries is based on its evaluation result of dispatchable capacity. Finally, the range of charging/discharging cost coefficients of 5G BS that benefits ADN and 5G operators are analyzed respectively. Further, an incentive policy for 5G operators is proposed. Under this policy, the charging/discharging cost coefficients of 5G BS can achieve a win-win situation for ADN and 5G operators. As an emerging flexible resource in ADN, the effectiveness and economy of 5G BS backup batteries participating in voltage profile optimization are verified in a test distribution network.展开更多
Optimal voltage controls have been widely applied in wind farms to maintain voltage stability of power grids.In order to achieve optimal voltage operation,authentic grid information is widely needed in the sensing and...Optimal voltage controls have been widely applied in wind farms to maintain voltage stability of power grids.In order to achieve optimal voltage operation,authentic grid information is widely needed in the sensing and actuating processes.However,this may induce system vulnerable to malicious cyber-attacks.To this end,a tube model predictive control-based cyber-attack-resilient optimal voltage control method is proposed to achieve voltage stability against malicious cyber-attacks.The proposed method consists of two cascaded model predictive controllers(MPC),which outperform other peer control methods in effective alleviation of adverse effects from cyber-attacks on actuators and sensors of the system.Finally,efficiency of the proposed method is evaluated in sensor and actuator cyber-attack cases based on a modified IEEE 14 buses system and IEEE 118 buses system.Index Terms-Attack-resilient control,optimal voltage control,tube-based model predictive control,wind farm-connected power system.展开更多
In order to improve the dynamic performance and suppress current harmonic for seven-phase PMSM(permanent magnet synchronous motor),this paper proposed an MPCC(mode predict current control)scheme based on SVPWM(space v...In order to improve the dynamic performance and suppress current harmonic for seven-phase PMSM(permanent magnet synchronous motor),this paper proposed an MPCC(mode predict current control)scheme based on SVPWM(space vector pulse width modulation)technique.By this scheme,the 14 virtual voltage vectors are first calculated based on the principle:the voltage vector synthesized in the 3rd harmonic subspace and the 5th harmonic subspace should be zero,in each sampling period,the optimal voltage vector is directly selected from the 14 virtual voltage vectors to achieve the best output current performance of seven-phase PMSM.In addition,no cost function related calculations are required in the MPCC scheme,reducing the calculation time and improving the dynamic response of the system.The simulation model of the seven-phase PMSM vector control system is established by using the Simulink tool of MATLAB,and the effectiveness of the scheme will be presented.展开更多
To address the problem of insufficient system inertia and improve the power quality of grid-connected inverters,and to enhance the stability of the power system,a method to control a virtual synchronous generator(VSG)...To address the problem of insufficient system inertia and improve the power quality of grid-connected inverters,and to enhance the stability of the power system,a method to control a virtual synchronous generator(VSG)output voltage based on model predictive control(MPC)is proposed.Parameters of the inductors,capacitors and other components of the VSG can vary as the temperature and current changes.Consequently the VSG output voltage and power control accuracy using the conventional MPC method may be reduced.In this paper,to improve the parameter robustness of the MPC method,a new weighted predictive capacitor voltage control method is proposed.Through detailed theoretical analysis,the principle of the proposed method to reduce the influence of parameter errors on voltage tracking accuracy is analyzed.Finally,the effectiveness and feasibility of the proposed method are verified by experimental tests using the Typhoon control hardware-in-the-loop experimental platform.展开更多
To further improve the steady-state performance of the conventional dual vector model predictive current control(MPCC),an improved optimal duty MPCC strategy for permanent magnet synchronous motor(PMSM)is proposed.Thi...To further improve the steady-state performance of the conventional dual vector model predictive current control(MPCC),an improved optimal duty MPCC strategy for permanent magnet synchronous motor(PMSM)is proposed.This strategy is realized by selecting an optimal voltage vector combination and its duration from the five basic voltage vector combinations,followed by acting on the inverter.The five combinations are:the combination of the optimal voltage vector at the previous moment and basic voltage vector with an angle difference of 60°;the combination of the optimal voltage vector at the previous moment and basic voltage vector with an angle difference of-60°;the combination of the aforementioned three basic voltage vectors with the zero vector.Experimental results indicate that the method effectively reduces the stator current ripple without increasing the calculational burden.Furthermore,it improves the steady-state performance of the system without altering the dynamic performance of the system.展开更多
文摘This experimental analysis shows the measured reduction in energy consumption as well as the effects of voltage on cycle temperatures, pressures, flow rates and also compressor speed （revolutions per minute）. The domestic refrigerator used R134a as refrigerant. Two energy consumption procedures were adapted from the JIS and ISO standards. The biggest difference between two standards is that the fridge is not opened in the ISO test while it is opened a number of times in the JIS test. The tests were carried out between 190 V and 250 V in steps of 10 V. The reduction in energy consumption was of 49.78 W-h per day or 6.27% of the total consumption. The experiments also showed that the voltage drop resulted in only a small rpm drop which in turn did not result in a noticeable refrigerant flow-rate change. Consequently the temperatures and pressures were not affected.
基金Supported by the National Key Research and Development Program of China(2023YFB2405905)the National Natural Science Foundation of China(72371037,72061147004,72342001)+1 种基金the Shandong Energy Institute(SEI U202310)the Science and Technology Projects of Hunan Province(2023JJ30049,2023JJ50312,2023JJ50010,2024RC9012,2024Kfjj04).
文摘In addressing voltage overruns and line lossesin distribution networks with a high percentage of distributed photovoltaic(PV)connections,traditional on-load regulator transformers can achieve only fixed-step voltage regulation and have a limited switching lifespan.Consequently,a discrete-continuous two-layer optimization methodology for distribution networks,which accounts for power-converter-embeddedhybrid on-load regulator transformers,has been proposed to adapt to rapid stochastic fluctuations associatedwith distribution networks having a high percentage of PV access.In the discrete layer,the mechanical ratio is employed as the decision variable at each moment.In the continuous layer,the power electronic converterratio,STATCOM compensation capacity,and energy storage charging and discharging power are utilized as decision variables at each moment.Acomposite optimal allocation model is established with an integrated objective function comprising the PV consumption rate,operating costs,and line losses,while simultaneously ensuring that the voltage at each node remains within the prescribed limits.Based on this model,an improved particle swarm algorithm is employed to determine the optimalconfiguration.Finally,the efficacy of the proposed method is validated through enhancements of the IEEE33node system example.
基金supported by the National Key R&D Program of China(No.2022YFF0608700).
文摘The power loss minimization and DC voltage stability of the multi-terminal direct current(MTDC)system with large-scale wind farm(WF)cluster affect the stability and power quality of the interconnected power grid.This paper proposes a distributed optimal voltage control(DOVC)strategy,which aims to optimize voltage distribution in MTDC and WF systems,reduce system power losses,and track power dispatch commands.The proposed DOVC strategy employs a bi-level distributed control architecture.At the upper level,the MTDC controller coordinates power flow,DC-side voltage of grid-side voltage source converters(GSVSCs),and WF-side voltage source converters(WFVSCs)for power loss minimization and DC voltage stabilization of the MTDC system.At the lower level,the WF controller coordinates the controlled bus voltage of WFVSC and the active and reactive power of wind turbines(WTs)to maintain WT terminal voltages within feasible range.Then,the WF controller minimizes the power loss of the WF system,while tracking the optimal command from the upper-level control strategy.Considering the computational tasks of multi-objective optimization with large-scale WF cluster,the proposed DOVC strategy is executed in a distributed manner based on the alternating direction method of multipliers(ADMM).An MTDC system with large-scale WF cluster is established in MATLAB to validate the effectiveness of the proposed DOVC strategy.
基金co-supported by the National Natural Science Foundation of China(No.52477063)the National Key Research and Development Program of China(No.2023YFF0719100)。
文摘With the development of More Electric Aircraft(MEA),the Permanent Magnet Synchronous Motor(PMSM)is widely used in the MEA field.The PMSM control system of MEA needs to consider the system reliability,and the inverter switching frequency of the inverter is one of the impacting factors.At the same time,the control accuracy of the system also needs to be considered,and the torque ripple and flux ripple are usually considered to be its important indexes.This paper proposes a three-stage series Model Predictive Torque and Flux Control system(three-stage series MPTFC)based on fast optimal voltage vector selection to reduce switching frequency and suppress torque ripple and flux ripple.Firstly,the analytical model of the PMSM is established and the multi-stage series control method is used to reduce the switching frequency.Secondly,selectable voltage vectors are extended from 8 to 26 and a fast selection method for optimal voltage vector sectors is designed based on the hysteresis comparator,which can suppress the torque ripple and flux ripple to improve the control accuracy.Thirdly,a three-stage series control is obtained by expanding the two-stage series control using the P-Q torque decomposition theory.Finally,a model predictive torque and flux control experimental platform is built,and the feasibility and effectiveness of this method are verified through comparison experiments.
基金supported by the National Natural Science Foundation of China (No.52077017)。
文摘The penetration of distributed energy resources(DERs) and energy-intensive resources is gradually increasing in active distribution networks(ADNs), which leads to frequent and severe voltage violation problems. As a densely distributed flexible resource in the future distribution network, 5G base station(BS) backup battery is used to regulate the voltage profile of ADN in this paper. First, the dispatchable potential of 5G BS backup batteries is analyzed. Considering the spatial-temporal characteristics of electric load for 5G BS, the dispatchable capacity of backup batteries at different time intervals is evaluated based on historical heat map data. Then, a voltage profile optimization model for ADN is established, consisting of 5G BS backup batteries and other voltage regulation resources. In this model, the charging/discharging behavior of backup batteries is based on its evaluation result of dispatchable capacity. Finally, the range of charging/discharging cost coefficients of 5G BS that benefits ADN and 5G operators are analyzed respectively. Further, an incentive policy for 5G operators is proposed. Under this policy, the charging/discharging cost coefficients of 5G BS can achieve a win-win situation for ADN and 5G operators. As an emerging flexible resource in ADN, the effectiveness and economy of 5G BS backup batteries participating in voltage profile optimization are verified in a test distribution network.
基金supported by the National Natural Science Foundation of China(U1909201)the Hong Kong Polytechnic University Research Program(SB2D).
文摘Optimal voltage controls have been widely applied in wind farms to maintain voltage stability of power grids.In order to achieve optimal voltage operation,authentic grid information is widely needed in the sensing and actuating processes.However,this may induce system vulnerable to malicious cyber-attacks.To this end,a tube model predictive control-based cyber-attack-resilient optimal voltage control method is proposed to achieve voltage stability against malicious cyber-attacks.The proposed method consists of two cascaded model predictive controllers(MPC),which outperform other peer control methods in effective alleviation of adverse effects from cyber-attacks on actuators and sensors of the system.Finally,efficiency of the proposed method is evaluated in sensor and actuator cyber-attack cases based on a modified IEEE 14 buses system and IEEE 118 buses system.Index Terms-Attack-resilient control,optimal voltage control,tube-based model predictive control,wind farm-connected power system.
文摘In order to improve the dynamic performance and suppress current harmonic for seven-phase PMSM(permanent magnet synchronous motor),this paper proposed an MPCC(mode predict current control)scheme based on SVPWM(space vector pulse width modulation)technique.By this scheme,the 14 virtual voltage vectors are first calculated based on the principle:the voltage vector synthesized in the 3rd harmonic subspace and the 5th harmonic subspace should be zero,in each sampling period,the optimal voltage vector is directly selected from the 14 virtual voltage vectors to achieve the best output current performance of seven-phase PMSM.In addition,no cost function related calculations are required in the MPCC scheme,reducing the calculation time and improving the dynamic response of the system.The simulation model of the seven-phase PMSM vector control system is established by using the Simulink tool of MATLAB,and the effectiveness of the scheme will be presented.
基金supported in part by the National Natural Science Foundation of China(51707176)in part by the Youth Talent Support Project of Henan Province(2019HYTP021)+1 种基金in part by the Youth Talent Support Project of Henan Province(2019HYTP021)in part by the Key Research,Development and Promotion Special Project(Science and Technology)of Henan Province(202102210103).
文摘To address the problem of insufficient system inertia and improve the power quality of grid-connected inverters,and to enhance the stability of the power system,a method to control a virtual synchronous generator(VSG)output voltage based on model predictive control(MPC)is proposed.Parameters of the inductors,capacitors and other components of the VSG can vary as the temperature and current changes.Consequently the VSG output voltage and power control accuracy using the conventional MPC method may be reduced.In this paper,to improve the parameter robustness of the MPC method,a new weighted predictive capacitor voltage control method is proposed.Through detailed theoretical analysis,the principle of the proposed method to reduce the influence of parameter errors on voltage tracking accuracy is analyzed.Finally,the effectiveness and feasibility of the proposed method are verified by experimental tests using the Typhoon control hardware-in-the-loop experimental platform.
基金Supported by the National Natural Science Foundation of China(51907061)Natural Science Foundation of Hunan Province(2019JJ50119)National Engineering Laboratory of UHV Engineering Technology(Kunming,Guangzhou)(NEL202008)。
文摘To further improve the steady-state performance of the conventional dual vector model predictive current control(MPCC),an improved optimal duty MPCC strategy for permanent magnet synchronous motor(PMSM)is proposed.This strategy is realized by selecting an optimal voltage vector combination and its duration from the five basic voltage vector combinations,followed by acting on the inverter.The five combinations are:the combination of the optimal voltage vector at the previous moment and basic voltage vector with an angle difference of 60°;the combination of the optimal voltage vector at the previous moment and basic voltage vector with an angle difference of-60°;the combination of the aforementioned three basic voltage vectors with the zero vector.Experimental results indicate that the method effectively reduces the stator current ripple without increasing the calculational burden.Furthermore,it improves the steady-state performance of the system without altering the dynamic performance of the system.
