Coordinated Scheduling Strategy Of Microgrid With Electric Vehicles And Renewable Energy

With the excessive use of fossil fuels and the aggravation of environmental pollution,people pay more attention to the development of clean energy such as renewable energy.At the same time,with the rapid development of electric vehicles,electric vehicles for the grid is no longer a simple unit of power consumption,but also as a distributed power supply.However,a large number of distributed energy access to the grid will bring great challenges to the safe operation of the grid.Therefore,when studying the isolated microgrid including the wind power generation system as the research object,it is necessary to analyze the influence of the electric vehicle on the microgrid and the electric vehicle users after the electric vehicle is connected to the microgrid.Coordinated scheduling of electric vehicles can maximizes the benefits of microgrids and users while ensuring stable operation of the power system.Firstly,the microgrid system model with electric vehicle is studied.The generation part of microgrid includes wind power generation and photovoltaic power generation.A wind power generation model based on wind speed is established.Considering the influence of light intensity and temperature on photovoltaic cells,a photovoltaic power generation model is established.The electric vehicle connected to the microgrid is used as a schedulable load,and a load model considering its power consumption time and power is established.The above model lays a theoretical foundation for the further study.Secondly,the multi-objective load scheduling model based on time-of-use price and photovoltaic/wind/battery power generation is studied.The user is indirectly influence through time-of-use price under the electricity demand of electric vehicle users.The users to discharging when the price is high and charging when the price is low.The benefits of electric vehicle users and the lifetime of energy storage system in microgrid are maximized are achieved under the constraints of power consumption.A stratified sequencing method is designed to transform the multi-objective optimization problem into a single-objective nonlinear optimization problem that can be solved through adaptive particle swarm optimization.The simulation results are compared with two single-objective load dispatching models.The results show that the multi-objective load scheduling model can increase the benefits of electric vehicle users without shortening the lifetime of energy storage system.Finally,an energy trading and pricing strategies between microgrid companies and electric vehicle users are studied.And a hierarchical Stackelberg game model between them is established.The existence and uniqueness of Stackelberg equilibrium point are verified.The self-adaptive particle swarm optimization algorithm is used to optimize the charging and discharging power of electric vehicles and the electricity price of microgrid companies.The simulation results show that the electricity consumption behavior and pricing strategy based on the established game model can improve the revenue of microgrid companies and reduce the electricity consumption cost of electric vehicle users.