Study On The Orderly Charging And Discharging Strategy Considering The Consumption Of New Energy By Electric Vehicles

At present,environmental and energy issues have developed into global concerns.In such an environment,safety and cleanliness must be emphasized in the process of building the energy Internet.Only in this way can the relationship between energy and the natural environment be effectively dealt with.At present,under the active research of various countries in the world,the microgrid formed by new energy power generation has now become the main power supply method for new energy in all countries.However,the development of new energy is facing some problems,such as its power generation is not stable enough,power has a certain degree of randomness and volatility,and the biggest problem is consumption.If an electric vehicle of a certain scale is put into the power grid and its energy storage battery is used for buffering,the electric vehicle can absorb new energy when generating new energy,thereby reducing fluctuations caused by new energy power generation and allowing car owners get a certain benefit.Therefore,this article focuses on the use of electric vehicle V2G(Vehicle-to-grid)to absorb the orderly charging and discharging strategy of wind and solar power generation,so as to improve the utilization of clean energy and alleviate the power grid from new energy power generation and electric vehicle charging.And other activities.The research of this paper firstly summarizes the current situation of new energy and V2 G,and at the same time analyzes the power generation units of the microgrid in combination with corresponding problems.Based on this,the principle of distributed power sources commonly found in microgrids was explored,and mathematical models of wind turbines and photovoltaic batteries were formed.At the same time,after fully grasping the temporal and spatial characteristics of electric vehicles,the charging load model of electric vehicles can be set up to facilitate more effective research in the future.Secondly,based on the orderly charging of electric vehicles,this paper proposes a dynamic time-of-use electricity price function formed by the amount of new energy generation as a variable.At the same time,the corresponding anti-step electricity price is set according to the amount of electricity generated by the daily consumption of new energy.This forms a daily electricity price function,and achieves the purpose of reasonable control of electric vehicles through the guidance of electricity prices.Subsequently,a mathematical model including wind power photovoltaics and electric vehicles was established,and the goal was to achieve the lowest power wave of electric vehicles and new energy generation.The volatility-decreasing inertia weighted particle swarm algorithm was used to optimize the solution,and the results obtained were provided for the main simulation research below.Reference direction.Finally,in order to detect the impact of this strategy on the operation of the microgrid,while establishing the relevant mathematical model,three control strategies are given,and electric vehicles of various scales are considered for simulation.With the goal of the smallest fluctuation of the distributed unit’s access to the grid,the lowest absolute value of the unconsumed new energy power,and the lowest charging cost of the car owner,the genetic algorithm is used to analyze the model.Explore whether the microgrid operates under different strategies,whether its economy is good,and whether the volatility brought by new energy power generation to the overall operation of the microgrid is stable.