Research Of Scheduled And Optimized Charging Strategy For Large-Scale Electric Vehicles In Smart Grid

In the dual pressure of environment pollution and resources tense, electric vehicle has the incomparable advantages compared with traditional vehicles as a new pattern of vehicles in relieving energy crisis and reducing environment pollution. The large scale application of electric vehicles has got world wide attention. Optimal control method of electric vehicles charging has become a research focus with the future flexible access and network interaction of electric vehicles.The paper analyzes the present situation and development trend of smart grid and electric vehicles, discusses the factors influencing the electric vehicles charging and systematically analyzes the optimized scheduling method of electric vehicles charging. This paper considers the feasibility of digesting distributed energy through electric vehicles charging in smart grid and raises the research of scheduled and optimized charging strategy for large-scale electric vehicles in smart grid with the distributed energy access.This paper raises the bi-level optimization scheduled charging strategy of electric vehicles based on the framework of power system dispatching center to agent to electric vehicles in order to removing the serious negative impact of power system security and economical operation which electric vehicles disorderly charging brings. The model minimizes the variance of system total load level and achieves the purpose of optimizing the time-period for loading shifting and digesting the distributed energy through optimizing each period scheduled plan of the agents for electric vehicles in the upper model of power system dispatching center to agent. The model also makes it in accordance with the scheduled plan which the power system dispatching center formulated through optimal management of electric vehicles charging power by the agents for electric vehicles in the lower model of agent to electric vehicles. The model uses the simulated annealing algorithm to solve the scheduled plan which power system dispatching center makes for the agents of electric vehicles and the charging power of electric vehicles which the agents dominated. The model of bi-level optimization scheduled charging strategy of electric vehicles realizes optimizing the time-period for load shifting, reducing the load peak valley ratio of network and effectively digesting the distributed energy.