An overview of V2G （vehicle-to-grid） technology is presented in this paper, it aims to highlight the main features, opportunities and requirements of V2G. Thus, after briefly resuming the most popular charging strat...An overview of V2G （vehicle-to-grid） technology is presented in this paper, it aims to highlight the main features, opportunities and requirements of V2G. Thus, after briefly resuming the most popular charging strategies lbr PEVs （plug-in electric vehicles）, the V2G concept is introduced, especially highlighting its potentiality as a revenue opportunity ｜br PEV owners： this is mainly due to the V2G ability to provide ancillary services, such as load leveling, regulation and reserve. Such solutions have been thoroughly investigated in the literature from both the economic and technical points of view and are here reported. In addition, V2G requirements such as mobility needs, charging stations availability and appropriate PEV aggregative architectures are properly taken into account. Finally, future developments and scenarios have also been reported.展开更多
This paper presents the design and implementation of an energy management system(EMS)with wavelet transform and fuzzy control for a residential micro-grid.The hybrid system in this paper consists of a wind turbine gen...This paper presents the design and implementation of an energy management system(EMS)with wavelet transform and fuzzy control for a residential micro-grid.The hybrid system in this paper consists of a wind turbine generator,photovoltaic(PV)panels,an electric vehicle(EV),and a super capacitor(SC),which is able to connect or disconnect to the main grid.The control strategy is responsible for compensating the difference between the generated power by the wind and solar generators and the demanded power by the loads.Wavelet transform decomposes the power difference into a smoothed component and a fast fluctuated component.The command approach used for fuzzy logic rules considers the state of charging(SOC)of EV,renewable production,and the load demand as parameters.Furthermore,the command rules are developed in order to ensure a reliable grid when taking into account the EV battery protection to decide the output power of the EV.The model of the hybrid system is developed in detail under Matlab/Simulink software environment.展开更多
Incorporating electric vehicles into smart grid,vehicle-to-Grid(V2G) makes it feasible to charge for large-scale electric vehicles,and in turn support electric vehicles,as mobile and distributed storage units,to disch...Incorporating electric vehicles into smart grid,vehicle-to-Grid(V2G) makes it feasible to charge for large-scale electric vehicles,and in turn support electric vehicles,as mobile and distributed storage units,to discharge to smart grid.In order to provide reliable and efficient services,the operator of V2 G networks needs to monitor realtime status of every plug-in electric vehicle(PEV) and then evaluate current electricity storage capability.Anonymity,aggregation and dynamic management are three basic but crucial characteristics of which the services of V2 G networks should be.However,few of existing authentication schemes for V2 G networks could satisfy them simultaneously.In this paper,we propose a secure and efficient authentication scheme with privacy-preserving for V2 G networks.The scheme makes the charging/discharging station authenticate PEVs anonymously and manage them dynamically.Moreover,the monitoring data collected by the charging/discharging station could be sent to a local aggregator(LAG)in batch mode.In particular,time overheads during verification stage are independent with the number of involved PEVs,and there is no need to update the membership certificate and key pair before PEV logs out.展开更多
With proper power scheduling and dynamic pricing,a unidirectional charger can provide benefits and regulation services to the electricity grid,at a level approaching that of bidirectional charging.Power scheduling and...With proper power scheduling and dynamic pricing,a unidirectional charger can provide benefits and regulation services to the electricity grid,at a level approaching that of bidirectional charging.Power scheduling and schedule flexibility of electric and plug-in hybrid vehicles are addressed.The use of electric vehicles(EVs)as flexibility resources and associated unidirectional vehicle-to-grid benefits are investigated.Power can be scheduled with the EV charger in control of charging or via control by a utility or an aggregator.Charging cost functions suitable for charger-and utility-controlled power scheduling are presented.Ancillary service levels possible with unidirectional vehicle-to-grid are quantified using sample charging scenarios from published data.Impacts of various power schedules and vehicle participation as a flexibility resource on electricity locational prices are evaluated.These include benefits to both owners and load-serving entities.Frequency regulation is considered in the context of unidirectional charging.展开更多
This paper proposes a vehicle-to-grid(V2G)system interfaced with a microgrid that is effective at regulating frequency on a microgrid over a 24-h cycle.A microgrid is designed and divided into four components.The firs...This paper proposes a vehicle-to-grid(V2G)system interfaced with a microgrid that is effective at regulating frequency on a microgrid over a 24-h cycle.A microgrid is designed and divided into four components.The first component is a diesel generator,which is used to act as the base power generator.The second component consists of renewable energy(RE)power plants,which include solar photovoltaic(PV)and wind plants.The third component is a V2G system.The last component is the load connected to the microgrid.A microgrid is designed to be of sufficient size to represent a community of one thousand households during the day period of low consumption in the spring or fall seasons.A hundred electric vehicles(EVs)are modeled as base models to realize a 1:10 ratio for cars to households,which indicates a possible scenario in the near future.Detailed analysis of the active power,reactive power,voltage,frequency,and current is carried out.It is established that the proposed design of the V2G andmicrogrid effectivelymaintains systemparameters such as frequency and voltage within permissible limits with an error of less than 1%.Further,transient deviations in these parameters are limited to within 5%.A microgrid with V2G devices regulates the system frequency by mitigating load demand through coordinated control of conventional generation,solar PV plant generation,wind plant generation,power exchange with the microgrid network,and electric vehicles.The proposed microgrid and V2G are efficient for energy management and mitigation of intermittency and variability of RE power with improved performance.Variations in system parameters have been investigated by changing the operating scenario,and it has been determined that the error is limited to less than 5%.The study is effectively realized in the MATLAB/Simulink environment.展开更多
1 Introduction Amid escalating global climate change,the“dual carbon”goals of carbon peak and carbon neutrality have become a focal point of global attention and an important strategy for sustainable development[1]....1 Introduction Amid escalating global climate change,the“dual carbon”goals of carbon peak and carbon neutrality have become a focal point of global attention and an important strategy for sustainable development[1].With the rapid development of renewable energy technologies and the increasing public demand for environmental protection and low-carbon living,the adoption of new energy vehicles,particularly electric vehicles(EVs).展开更多
State this study looks at how well a three-phase bidirectional converter works for Vehicle-to-Grid(V2G)services by using both Adaptive Neuro-Fuzzy Inference System(ANFIS)and Proportional-Integral(PI)controllers.When c...State this study looks at how well a three-phase bidirectional converter works for Vehicle-to-Grid(V2G)services by using both Adaptive Neuro-Fuzzy Inference System(ANFIS)and Proportional-Integral(PI)controllers.When compared with ANFIS controllers,traditional controllers such as PI and PID show challenges.They may not sufficiently react to changing conditions or non-linearity’s and use fixed gain values requiring hand tuning.By means of learning,ANFIS controllers can thus dynamically change their parameters,so providing enhanced accuracy and flexibility in real-time control.The main objectives are to control the DC link voltage,lower total harmonic distortion(THD),and lower the errors.The Synchronous Reference Frame(SRF)transformation changes three-phase AC into a two-axis(d-q)system,making it easier to control active and reactive power separately.We developed a thorough Simulink model in MATLAB 2023a to model the bidirectional off-board fast charger at a power level of 60 kW.After validation,a 5-kW hardware prototype was built in the lab.The main platform is an AC-DC converter,followed by a DC-DC converter.A programmable DC power supply,Chroma 62050H-600S,connected to the DC-DC converter,mimics the dynamic characteristics of a battery.The control algorithm,deployed on a Spartan-6 LX9 FPGA,manages both voltage and current,maintaining a stable DC link voltage of 800 V.The results obtained indicate that the ANFIS controller outperforms a conventional PI controller when handling dynamic load variations.展开更多
In order to protect the interests of electric vehicle users and grid companies with vehicle-to-grid(V2G)technology,a reasonable electric vehicle discharge electricity price is established through the evolutionary game...In order to protect the interests of electric vehicle users and grid companies with vehicle-to-grid(V2G)technology,a reasonable electric vehicle discharge electricity price is established through the evolutionary game model.A game model of power grid companies and electric vehicle users based on the evolutionary game theory is established to balance the revenue of both players in the game.By studying the dynamic evolution process of both sides of the game,the range of discharge price that satisfies the interests of both sides is obtained.The results are compared with those obtained by the static Bayesian game.The results show that the discharge price which can benefit both sides of the game exists in a specific range.According to the setting of the example,the reasonable discharge electricity price is 1.1060 to 1.4811 yuan/(kW·h).Only within this range can the power grid company and electric vehicle users achieve positive interactions.In addition,the evolutionary game model is easier to balance the interests of the two players than the static Bayesian game.展开更多
For the negative impact of large-scale electric vehicles (EVs) disorderly charging on the power grid, a multi-objective optimization strategy for coordinated charging and discharging of EVs based on Stackelberg game i...For the negative impact of large-scale electric vehicles (EVs) disorderly charging on the power grid, a multi-objective optimization strategy for coordinated charging and discharging of EVs based on Stackelberg game is proposed. As the leader, the grid company aims to stabilize load fluctuations and formulate a reasonable electricity price strategy to guide EVs to participate in vehicle-to-grid (V2G);As followers, EV users optimize their charging plans based on electricity price information with the objective of reducing costs and obtaining good comfort. This paper uses the MOPSO algorithm to solve the proposed multi-objective Stackelberg problem, and calculates the optimization results under various preferences, which proves the effectiveness of the proposed model and method.展开更多
In the future smart cities,parking lots(PLs)can accommodate hundreds of electric vehicles(EVs)at the same time.This trend creates an opportunity for PLs to serve as a potential flexibility resource,considering growing...In the future smart cities,parking lots(PLs)can accommodate hundreds of electric vehicles(EVs)at the same time.This trend creates an opportunity for PLs to serve as a potential flexibility resource,considering growing penetration of EVs and integration of distributed energy resources DER(such as photovoltaic and energy storages).Given this background,this paper proposes a comprehensive evaluation framework to investigate the potential role of DER-integrated PLs(DPL)with the capability of vehicle-to-grid(V2G)in improving the reliability of the distribution network.For this aim,first,an overview for the distribution system with DPLs is provided.Then,a generic model for the available generation capacity(AGC)of DPLs with consideration of EV scheduling strategy is developed.On the above basis,an iterative-based algorithm leveraging sequential Monte Carlo simulation is presented to quantify the contribution of DPLs to the reliability of the system.In order to verify the effectiveness of the proposed method,a series of numerical studies are carried out.The simulation results show that the integration of DPLs with the V2G capability could help to improve the reliability performance of distribution grid to a great extent and reduce the adverse impact incurred by EV accommodation,if utilized properly.展开更多
With the development of smart grid, residents have the opportunity to schedule their household appliances （HA） for the purpose of reducing electricity expenses and alleviating the pressure of the smart grid. In this...With the development of smart grid, residents have the opportunity to schedule their household appliances （HA） for the purpose of reducing electricity expenses and alleviating the pressure of the smart grid. In this paper, we introduce the structure of home energy management system （EMS） and then propose a power optimization strategy based on household load model and electric vehicle （EV） model for home power usage. In this strategy, the electric vehicles are charged when the price is low, and otherwise, are discharged. By adopting this combined system model under the time-of-use electricity price （TOUP）, the proposed scheduling strategy would effectively minimize the electricity cost and reduce the pressure of the smart grid at the same time. Finally, simulation experiments are carried out to show the feasibility of the proposed strategy. The results show that crossover genetic particle swarm optimization algorithm has better convergence properties than traditional particle swarm algorithm and better adaptability than genetic algorithm.展开更多
With the transition to electric vehicle technologies, large scale support infrastructure is being deployed. The vehicleto-grid (V2G) concept is an opportunity to take advantage from both infrastructure and electric ve...With the transition to electric vehicle technologies, large scale support infrastructure is being deployed. The vehicleto-grid (V2G) concept is an opportunity to take advantage from both infrastructure and electric vehicle drive. However, coordinating large?number of agents in a reasonable speed and lack of homogenous distribution of the service provided by vehicle users to the grid have been left unattended. We apply consensus theory to the V2G concept presenting a decentralized control solution to assure that all vehicles within a region, regardless of their technology, positioning or state of charge, can communicate with their neighbors and agree on how much energy each should individually exchange with the grid. Applying constraints to the system, we considered a 25,000 vehicle fleet connected to a?grid during peak hours. Simulating power changes and vehicles entering and leaving the system, two groups of 5 vehicles were studied: the first group remained in the system during all peak hours, while the second group only an hour. Results showed that the two groups of vehicles despite connecting to the system at different times were able to reach consensus in t = 15 s, and reported a maximum error of ε < 0.01% if left in the system during all peak hours.展开更多
Vehicle-to-grid(V2G)is regarded as the effective way to reconcile contradictions between an electric power system and electric vehicles(EVs).A lot of research has been carried out to affect this,often based on differe...Vehicle-to-grid(V2G)is regarded as the effective way to reconcile contradictions between an electric power system and electric vehicles(EVs).A lot of research has been carried out to affect this,often based on different technical and trade model assumptions.The value of theresearch is dependent on how reasonable the assumptions it makes are.This paper presents a framework for analyzing V2G service development from a coevolutionary perspective in which the interactive relation between the diffusion of EVs and the upgrade of the distribution grid system is considered.A V2G service development logic and its management formulation are put forward.First,the motivations and contradictions of developing V2G services are analyzed.Then a development phase division of the V2G services is proposed in view of the coevolution relation between the grid upgrade and the development of the EV.Next,taking into account the characteristics of each phase,the physical trade structures and corresponding management hierarchies,management relations as well as management measures,are proposed.This paper provides a new perspective of V2G service development,answers the core question on how to make the V2G vision come true in synergy with the development of EVs,and gives some advice on future V2G management paradigms.展开更多
Coordinated vehicle-to-grid(V2G)control strategies can sustain essential loads of an energy system during islanding,thereby increasing resilience.In this context,this paper investigates the resilience enhancement bene...Coordinated vehicle-to-grid(V2G)control strategies can sustain essential loads of an energy system during islanding,thereby increasing resilience.In this context,this paper investigates the resilience enhancement benefits of smart V2G control,the value of electric vehicle(EV)owner cooperation on system resilience,as well as the complementary effects of PV and EV interaction in an urban multi-energy microgrid(MEMG).By using a rolling horizon approach to optimize day-ahead operation of the MEMG and subsequently dispatching EVs,uncertainties in outage start time,EV arrival/departure times,and initial state of charge(SOC)are mitigated.Results show that smart V2G control can provide a substantial essential load curtailment reduction compared to a non-EV scenario,meanwhile,non-coordinated grid-to-vehicle(G2V)operation was shown to slightly burden the system with a slight increase in non-essential load curtailment.Investigations into the influence of EV cooperation on resilience showed that a high percentage of system-prioritized(SP)EVs could help greatly further reduce essential load curtailment compared to individual-prioritized(IP)EVs.Finally,the complementary benefits of smart V2G control and PV were demonstrated,showing a reduction in both PV and essential load curtailments with increasing numbers of EVs.Overall,the application of smart V2G control,especially with cooperation of EV owners,can drive significant resilience enhancement during islanding,while further benefits can be obtained through having a sufficient number of EVs to utilize high PV penetration.展开更多
文摘An overview of V2G （vehicle-to-grid） technology is presented in this paper, it aims to highlight the main features, opportunities and requirements of V2G. Thus, after briefly resuming the most popular charging strategies lbr PEVs （plug-in electric vehicles）, the V2G concept is introduced, especially highlighting its potentiality as a revenue opportunity ｜br PEV owners： this is mainly due to the V2G ability to provide ancillary services, such as load leveling, regulation and reserve. Such solutions have been thoroughly investigated in the literature from both the economic and technical points of view and are here reported. In addition, V2G requirements such as mobility needs, charging stations availability and appropriate PEV aggregative architectures are properly taken into account. Finally, future developments and scenarios have also been reported.
基金supported by the National Science Foundation of China under Grant No.51205046
文摘This paper presents the design and implementation of an energy management system(EMS)with wavelet transform and fuzzy control for a residential micro-grid.The hybrid system in this paper consists of a wind turbine generator,photovoltaic(PV)panels,an electric vehicle(EV),and a super capacitor(SC),which is able to connect or disconnect to the main grid.The control strategy is responsible for compensating the difference between the generated power by the wind and solar generators and the demanded power by the loads.Wavelet transform decomposes the power difference into a smoothed component and a fast fluctuated component.The command approach used for fuzzy logic rules considers the state of charging(SOC)of EV,renewable production,and the load demand as parameters.Furthermore,the command rules are developed in order to ensure a reliable grid when taking into account the EV battery protection to decide the output power of the EV.The model of the hybrid system is developed in detail under Matlab/Simulink software environment.
基金the Natural Science Foundation of China(61102056,61201132)Fundamental Research Funds for the Central Universities of China(K5051301013)the 111 Project of China(B08038)
文摘Incorporating electric vehicles into smart grid,vehicle-to-Grid(V2G) makes it feasible to charge for large-scale electric vehicles,and in turn support electric vehicles,as mobile and distributed storage units,to discharge to smart grid.In order to provide reliable and efficient services,the operator of V2 G networks needs to monitor realtime status of every plug-in electric vehicle(PEV) and then evaluate current electricity storage capability.Anonymity,aggregation and dynamic management are three basic but crucial characteristics of which the services of V2 G networks should be.However,few of existing authentication schemes for V2 G networks could satisfy them simultaneously.In this paper,we propose a secure and efficient authentication scheme with privacy-preserving for V2 G networks.The scheme makes the charging/discharging station authenticate PEVs anonymously and manage them dynamically.Moreover,the monitoring data collected by the charging/discharging station could be sent to a local aggregator(LAG)in batch mode.In particular,time overheads during verification stage are independent with the number of involved PEVs,and there is no need to update the membership certificate and key pair before PEV logs out.
文摘With proper power scheduling and dynamic pricing,a unidirectional charger can provide benefits and regulation services to the electricity grid,at a level approaching that of bidirectional charging.Power scheduling and schedule flexibility of electric and plug-in hybrid vehicles are addressed.The use of electric vehicles(EVs)as flexibility resources and associated unidirectional vehicle-to-grid benefits are investigated.Power can be scheduled with the EV charger in control of charging or via control by a utility or an aggregator.Charging cost functions suitable for charger-and utility-controlled power scheduling are presented.Ancillary service levels possible with unidirectional vehicle-to-grid are quantified using sample charging scenarios from published data.Impacts of various power schedules and vehicle participation as a flexibility resource on electricity locational prices are evaluated.These include benefits to both owners and load-serving entities.Frequency regulation is considered in the context of unidirectional charging.
文摘This paper proposes a vehicle-to-grid(V2G)system interfaced with a microgrid that is effective at regulating frequency on a microgrid over a 24-h cycle.A microgrid is designed and divided into four components.The first component is a diesel generator,which is used to act as the base power generator.The second component consists of renewable energy(RE)power plants,which include solar photovoltaic(PV)and wind plants.The third component is a V2G system.The last component is the load connected to the microgrid.A microgrid is designed to be of sufficient size to represent a community of one thousand households during the day period of low consumption in the spring or fall seasons.A hundred electric vehicles(EVs)are modeled as base models to realize a 1:10 ratio for cars to households,which indicates a possible scenario in the near future.Detailed analysis of the active power,reactive power,voltage,frequency,and current is carried out.It is established that the proposed design of the V2G andmicrogrid effectivelymaintains systemparameters such as frequency and voltage within permissible limits with an error of less than 1%.Further,transient deviations in these parameters are limited to within 5%.A microgrid with V2G devices regulates the system frequency by mitigating load demand through coordinated control of conventional generation,solar PV plant generation,wind plant generation,power exchange with the microgrid network,and electric vehicles.The proposed microgrid and V2G are efficient for energy management and mitigation of intermittency and variability of RE power with improved performance.Variations in system parameters have been investigated by changing the operating scenario,and it has been determined that the error is limited to less than 5%.The study is effectively realized in the MATLAB/Simulink environment.
基金supported by Yunnan Provincial Basic Research Project(202401AT070344)National Natural Science Foundation of China(62263014).
文摘1 Introduction Amid escalating global climate change,the“dual carbon”goals of carbon peak and carbon neutrality have become a focal point of global attention and an important strategy for sustainable development[1].With the rapid development of renewable energy technologies and the increasing public demand for environmental protection and low-carbon living,the adoption of new energy vehicles,particularly electric vehicles(EVs).
基金the financial support provided by the Royal Academy of Engineering,UK(Project Reference No:TSP-2526-7102),which enabled the successful execution of this research work.
文摘State this study looks at how well a three-phase bidirectional converter works for Vehicle-to-Grid(V2G)services by using both Adaptive Neuro-Fuzzy Inference System(ANFIS)and Proportional-Integral(PI)controllers.When compared with ANFIS controllers,traditional controllers such as PI and PID show challenges.They may not sufficiently react to changing conditions or non-linearity’s and use fixed gain values requiring hand tuning.By means of learning,ANFIS controllers can thus dynamically change their parameters,so providing enhanced accuracy and flexibility in real-time control.The main objectives are to control the DC link voltage,lower total harmonic distortion(THD),and lower the errors.The Synchronous Reference Frame(SRF)transformation changes three-phase AC into a two-axis(d-q)system,making it easier to control active and reactive power separately.We developed a thorough Simulink model in MATLAB 2023a to model the bidirectional off-board fast charger at a power level of 60 kW.After validation,a 5-kW hardware prototype was built in the lab.The main platform is an AC-DC converter,followed by a DC-DC converter.A programmable DC power supply,Chroma 62050H-600S,connected to the DC-DC converter,mimics the dynamic characteristics of a battery.The control algorithm,deployed on a Spartan-6 LX9 FPGA,manages both voltage and current,maintaining a stable DC link voltage of 800 V.The results obtained indicate that the ANFIS controller outperforms a conventional PI controller when handling dynamic load variations.
基金The National Natural Science Foundation of China(No.51577028).
文摘In order to protect the interests of electric vehicle users and grid companies with vehicle-to-grid(V2G)technology,a reasonable electric vehicle discharge electricity price is established through the evolutionary game model.A game model of power grid companies and electric vehicle users based on the evolutionary game theory is established to balance the revenue of both players in the game.By studying the dynamic evolution process of both sides of the game,the range of discharge price that satisfies the interests of both sides is obtained.The results are compared with those obtained by the static Bayesian game.The results show that the discharge price which can benefit both sides of the game exists in a specific range.According to the setting of the example,the reasonable discharge electricity price is 1.1060 to 1.4811 yuan/(kW·h).Only within this range can the power grid company and electric vehicle users achieve positive interactions.In addition,the evolutionary game model is easier to balance the interests of the two players than the static Bayesian game.
文摘For the negative impact of large-scale electric vehicles (EVs) disorderly charging on the power grid, a multi-objective optimization strategy for coordinated charging and discharging of EVs based on Stackelberg game is proposed. As the leader, the grid company aims to stabilize load fluctuations and formulate a reasonable electricity price strategy to guide EVs to participate in vehicle-to-grid (V2G);As followers, EV users optimize their charging plans based on electricity price information with the objective of reducing costs and obtaining good comfort. This paper uses the MOPSO algorithm to solve the proposed multi-objective Stackelberg problem, and calculates the optimization results under various preferences, which proves the effectiveness of the proposed model and method.
基金financially supported by the National Social Science Fund of China(No.19ZDA081)Fundamental Research Funds for the Central Universities(No.2020MS067).
文摘In the future smart cities,parking lots(PLs)can accommodate hundreds of electric vehicles(EVs)at the same time.This trend creates an opportunity for PLs to serve as a potential flexibility resource,considering growing penetration of EVs and integration of distributed energy resources DER(such as photovoltaic and energy storages).Given this background,this paper proposes a comprehensive evaluation framework to investigate the potential role of DER-integrated PLs(DPL)with the capability of vehicle-to-grid(V2G)in improving the reliability of the distribution network.For this aim,first,an overview for the distribution system with DPLs is provided.Then,a generic model for the available generation capacity(AGC)of DPLs with consideration of EV scheduling strategy is developed.On the above basis,an iterative-based algorithm leveraging sequential Monte Carlo simulation is presented to quantify the contribution of DPLs to the reliability of the system.In order to verify the effectiveness of the proposed method,a series of numerical studies are carried out.The simulation results show that the integration of DPLs with the V2G capability could help to improve the reliability performance of distribution grid to a great extent and reduce the adverse impact incurred by EV accommodation,if utilized properly.
基金supported by the National Basic Research Program of China(973 Program)under Grant No.2012CB215202the National Natural Science Foundation of China under Grant No.51205046 and No.61450010
文摘With the development of smart grid, residents have the opportunity to schedule their household appliances （HA） for the purpose of reducing electricity expenses and alleviating the pressure of the smart grid. In this paper, we introduce the structure of home energy management system （EMS） and then propose a power optimization strategy based on household load model and electric vehicle （EV） model for home power usage. In this strategy, the electric vehicles are charged when the price is low, and otherwise, are discharged. By adopting this combined system model under the time-of-use electricity price （TOUP）, the proposed scheduling strategy would effectively minimize the electricity cost and reduce the pressure of the smart grid at the same time. Finally, simulation experiments are carried out to show the feasibility of the proposed strategy. The results show that crossover genetic particle swarm optimization algorithm has better convergence properties than traditional particle swarm algorithm and better adaptability than genetic algorithm.
文摘With the transition to electric vehicle technologies, large scale support infrastructure is being deployed. The vehicleto-grid (V2G) concept is an opportunity to take advantage from both infrastructure and electric vehicle drive. However, coordinating large?number of agents in a reasonable speed and lack of homogenous distribution of the service provided by vehicle users to the grid have been left unattended. We apply consensus theory to the V2G concept presenting a decentralized control solution to assure that all vehicles within a region, regardless of their technology, positioning or state of charge, can communicate with their neighbors and agree on how much energy each should individually exchange with the grid. Applying constraints to the system, we considered a 25,000 vehicle fleet connected to a?grid during peak hours. Simulating power changes and vehicles entering and leaving the system, two groups of 5 vehicles were studied: the first group remained in the system during all peak hours, while the second group only an hour. Results showed that the two groups of vehicles despite connecting to the system at different times were able to reach consensus in t = 15 s, and reported a maximum error of ε < 0.01% if left in the system during all peak hours.
基金supported by the National Natural Science Foundation of China(No.51507022)the Humanities and Social Sciences Projects of the Ministry of Education of China(No.18YJC790137)+1 种基金the Science and Technology Research Program of Chongqing Education Commission(No.KJ1703067)the Top Talent Plan of Chongqing Normal University(No.020303070059).
文摘Vehicle-to-grid(V2G)is regarded as the effective way to reconcile contradictions between an electric power system and electric vehicles(EVs).A lot of research has been carried out to affect this,often based on different technical and trade model assumptions.The value of theresearch is dependent on how reasonable the assumptions it makes are.This paper presents a framework for analyzing V2G service development from a coevolutionary perspective in which the interactive relation between the diffusion of EVs and the upgrade of the distribution grid system is considered.A V2G service development logic and its management formulation are put forward.First,the motivations and contradictions of developing V2G services are analyzed.Then a development phase division of the V2G services is proposed in view of the coevolution relation between the grid upgrade and the development of the EV.Next,taking into account the characteristics of each phase,the physical trade structures and corresponding management hierarchies,management relations as well as management measures,are proposed.This paper provides a new perspective of V2G service development,answers the core question on how to make the V2G vision come true in synergy with the development of EVs,and gives some advice on future V2G management paradigms.
基金supported by the UK Engineering and Physical Sciences Research Council (EP/L015471/1EP/R045518/1).
文摘Coordinated vehicle-to-grid(V2G)control strategies can sustain essential loads of an energy system during islanding,thereby increasing resilience.In this context,this paper investigates the resilience enhancement benefits of smart V2G control,the value of electric vehicle(EV)owner cooperation on system resilience,as well as the complementary effects of PV and EV interaction in an urban multi-energy microgrid(MEMG).By using a rolling horizon approach to optimize day-ahead operation of the MEMG and subsequently dispatching EVs,uncertainties in outage start time,EV arrival/departure times,and initial state of charge(SOC)are mitigated.Results show that smart V2G control can provide a substantial essential load curtailment reduction compared to a non-EV scenario,meanwhile,non-coordinated grid-to-vehicle(G2V)operation was shown to slightly burden the system with a slight increase in non-essential load curtailment.Investigations into the influence of EV cooperation on resilience showed that a high percentage of system-prioritized(SP)EVs could help greatly further reduce essential load curtailment compared to individual-prioritized(IP)EVs.Finally,the complementary benefits of smart V2G control and PV were demonstrated,showing a reduction in both PV and essential load curtailments with increasing numbers of EVs.Overall,the application of smart V2G control,especially with cooperation of EV owners,can drive significant resilience enhancement during islanding,while further benefits can be obtained through having a sufficient number of EVs to utilize high PV penetration.
