A Electric Vehicle Charging Load Optimization Control Strategy To Absorb Blocked Wind And Solar Power

With the gradual depletion of fossil energy and the increasingly serious environmental problems,renewable energy represented by wind power and solar power are developing rapidly.Because of the unique operating characteristics of wind power and solar power,power grid planning and construction not being synchronized with wind power development,and insufficient trans-regional transmission capacity,massive wind power and solar power is blocked.At the same time,the continuous development of electric vehicles will lead to that overall charging load cannot be ignored by power grid anymore.By properly controlling the order of charging electric vehicles,load transfer or adjustment can be realized in the power grid to eliminate the blocked wind power and solar power.In view of the above situation,this paper analyzes the operational characteristics of large-scale wind and solar power access to the power grid and the reasons for the obstruction of wind and solar energy consumption,also,the feasibility of electric vehicle load regulation in absorbing wind power.On this basis,a two-stage load optimization control strategy aiming at absorbing blocked wind power and solar power is proposed.A coordinated optimal control model with the maximum wind and solar power absorption and a load tracking optimal control model with the minimum power deviation as the objective are established respectively,which are solved by a difference algorithm and a distributed algorithm separately.Then,a two-stage electric vehicle charging load optimization control strategy is formed.Finally,the feasibility and validity of the load optimization control strategy proposed in this paper is verified by the simulation calculation and analysis of the operation data of a regional power grid.