V2G Strategy Of PEV And Its Integration Into The Active Distribution Network In Electricity Market

As the energy shortage and the pollution of the environment becomemore and more severe, energy-saving and low-emission Plug-in ElectricVehicle (PEV) is considered to be one of the solutions. The integration ofPEV into the grid is one hot research topic around the world. Thisdissertation studies the autonomous (Vehicle to Grid) V2G strategy ofPEV users according to Prospect Theory and Reference Price theory andalso the integration of PEV into the Active Distribution Network(ADN)as Virtual Power Plant(VPP). The main focuses of this dissertation arelisted as follow：1.When studying the autonomous V2G mode, the drivingcharacteristics of the PEV and the user habits are considered. And boththe V2G strategy of a single PEV and the price response of PEVaggregator are studied under real-time pricing: 1)A decision-making problem of determining the start time ofcharging and discharging during allowed period is proposed and studiedunder the uncertainty of real-time price. Several real-time scenarios arechosen with scenarios reduction technology and economic benefit areevaluated and optimal strategies are given under both Expected Utilitytheory and Prospect Theory. Meanwhile, the decision-making results ofthe two methods are compared.2)The price response of PEV aggregator starts from that of a singlePEV. This subjective values of different strategies are calculatedaccording to reference price and prospect theory, and further based onwhich the probability of charging, discharging and doing neither areobtained. With these probabilities, the load of PEV aggregator issimulated with Monte Carol method. Besides, the price response model isintroduced to the day-ahead scheduling model under the marketmechanism. With the interaction between the price and the PEV load,stabilized day-ahead market clearing price (MCP), purchase cost and thecorrespondent PEV load are obtained.2. In an ADN, PEV aggregator/fleet can be equivalent to a VPP that isable to respond to the price signal issued by the main network. In thedissertation, the optimization model of V2G strategy under the marketmechanism is established and the interaction mode between VPP and the main network is designed and simulated. With the interaction, stabilizedprice curve and correspondent V2G strategy will finally be obtained.