| Nowadays,under the dual pressure of global energy crisis and environmental problems,governments around the world are looking forward to low-carbon generation technology and low-carbon transport technology to achieve environmentally sustainable development.The proportion of renewable energy sources(RES)in power generation is increasing,and the influence of its output uncertainty on the optimization operation of microgrid is becoming more and more obvious.Electric vehicles,regarded as a demand-side resource access to the microgrid,can be involved in energy regulation system based on the V2G technology,the RES and the demand-side resources can be comprehensive planned.Therefore,it is necessary to study in how to give full play to the energy regulation of EV by the means of effective control strategy under high permeation RES smart grid,thus improving utilization of RES and realizing coupling utilization between EV and large-scale RES.The research on the cooperation utilization between EV and RES is presented as follows:1)The PV-storage microgrid system with EV is built.The state space model and the load model of each PEV are presented by modeling the driving behaviors of PEV owners.The load characteristic of bettery energy storage(BES)is analyzed similar to PEV.2)The growing electric demand of electric vehicle(EV),coupled with increased penetration of photovoltaic(PV),promotes the research on the cooperation utilization between EV and the microgrid with a high penetration level of PV.In this paper,a dynamic control strategy for EV considering interaction response is proposed to increase renewable energy accommodation in the microgrid.Firstly,considering the relationship between PV power output supply and load demand in the microgrid,the virtual price mechanism is developed combined with real-time price and inclining block rates.Secondly,a new optimization framework for EV is presented as a mixed integer programming model to maximize the PV accommodation on the basis of the proposed virtual price.In order to deal with adverse impact caused by the uncertainty of PV power output,a model predictive control method is applied to realizing dynamic control for EV considering interaction response.3)Taking the microgrid in a certain office area as an example,the simulation results show that the demand side resource is able to actively match PV power output based on the proposed dynamic control strategy for EV,and the PV accommodation and the load characteristic are also developed,thus the proposed dynamic control strategy for EV can realize the various economic benefits. |