Research On Scheduling Strategy Of Reserve Service Provided By Electric Vehicle Aggregator

The rapid development of auto industry has changed the appearance of modern industrial production and people’s life.Logically,automobiles have become one of the necessities of modern human.However,with the situation of environmental pollution and resource shortage getting worse,reducing the use of fossil-fuelled cars is gradually putting on the agenda of politicians and businesses around the world.Therefore,the auto industry also has to find a new role.In this context,the vigorous development of Electric Vehicle(EV)has to become an inevitable requirement of the current era.Under the active guidance of relevant policies around the world,the number of EV has increased significantly in recent years.Coupled with the gradual application of demand response(DR)technology in the power system,EV with high potential for scheduling has increasingly become a kind of demand response resource that cannot be ignored.In order to use of EV response potential more effectively,electric vehicle aggregator(EVA)is generally introduced at home and abroad as an intermediary between EV clusters and scheduling agencies.With researches deepening,the role of EVA in power system has received extensive attention from many scholars.As a new type of commercial company,an EVA usually needs to improve its economic benefits under the electric power market environment.For this purpose,an EVA can increase its profit by providing a kind of auxiliary service while participating in the energy market(EM).As is known to all,power market ancillary services include frequency regulation,peak shaving,var control,reserve service and black-start.In this way,both the selection of specific ancillary service that is suitable for EVA and the design of operational mode in the ancillary services market will become pressing issues.In addition,the regulation of EVs by EVA must primarily meet users’ needs.To improve the responsiveness of EV users,an EVA also has to introduce appropriate incentives.At the same time,it is necessary to consider the impact of user response uncertainty and other details.From these,the research on EVA cannot be presented far and wide,but must be specifically analyzed and discussed.In this paper,spinning reserve service is selected as the main type of auxiliary service provided by EVA when it takes part in electricity market.And the market structure and scheduling strategy for EVA to provide reserve service are studied.The main work content and research results are as follows:1.From the perspective of customer’s demand,the concept of dual-incentive mechanism(DIM)and semi-managed response mode(SMRM)are put forward based on the characteristics of common EVA scheduling framework.Thus the business operating model for EVA providing reserve service in the power system is designed.The model shows power flow,cash flow and information flow in the market interaction.2.Based on the above market structure,the paper analyzes the uncertainty of user response with the consumer psychology model.And the mathematical model of user response uncertainty under the dual-incentive mechanism is derived.In the meantime,the reserve capacity calculation models of EV are established with some possible running status of EV in real life.3.According to different reserve capacity to scheduling in the real-time,an optimal scheduling strategy for an EV cluster charging and discharging controlled by EVA is proposed based on stochastic programming method.The effectiveness of the above models are verified by the simulation.And the influences of three variables controlled freely by EVA(charging incentive,discharging incentive and the scheduling time scale of EVA)on the reserve capacity provided by EVA are analyzed.