Research On Wind Power And Distribution Network And Power Load Collaborative Optimization Control Strategy Based On Electric Vehicle Wind Power Consumption

The increasing consumption of global energy has accelerated the process of resource depletion.Promoting the development of renewable energy is the most critical solution to the problem of energy demand.With the proposal of "double carbon" goal,electric vehicles are expected to replace fuel vehicles and become the main type of vehicles.However,with the increase of the scale of electric vehicles,the load impact effect of electric vehicles on the distribution network will become more and more obvious.Using renewable energy power generation system to power electric vehicles can not only transfer the charging load of electric vehicles and reduce the load impact caused by cluster charging,but also reduce the fluctuation of renewable energy power generation power,which is helpful to improve the utilization of renewable energy.Based on this,taking wind power generation as an example,this paper proposes a "wind grid load" collaborative optimization control strategy based on electric vehicle wind power consumption.Firstly,the application of demonstration projects of renewable energy charging stations at home and abroad is analyzed,and the feasibility of system integration of renewable energy charging stations at this stage is studied.The characteristics of wind power generation,the influence of seasonal characteristics of wind power and the impact of load impact caused by disorderly charging of electric vehicles on the stable operation of distribution network are analyzed.Through the analysis and research of electric vehicle charging mode and charging facilities,it is considered that the establishment of wind power charging station integrated system can reduce the impact of large-scale fluctuation of wind power output and electric vehicle charging load impact on the safe and stable operation of distribution network.Secondly,after analyzing the influencing factors of electric vehicle charging behavior and using Monte Carlo method to simulate the disorderly charging of vehicles of different sizes,it is found that the disorderly charging behavior of electric vehicle causes the coincidence of charging time and base charge consumption time,resulting in load impact.The conventional orderly charging control method of electric vehicles is analyzed,and the strategy of cluster optimization of community load of electric vehicles based on V2 G technology is designed.The simulation results show that the conventional orderly charging control method can reduce the load impact to a certain extent,but there are application defects.Finally,this paper proposes a "wind network load" collaborative optimization scheduling strategy based on electric vehicle wind power consumption.The cooperation system between wind power,distribution operators and users is established,and the incentive price policy is designed and applied to guide electric vehicles to absorb wind power,transfer charging load and guide residents to adjust power consumption behavior and reduce the peak base load.After solving the model by NSGA-Ⅱ algorithm,it shows that this strategy can fundamentally solve the problem of load impact,reduce the fluctuation of wind power and optimize the interests of the three parties.