Coordinated Scheduling Of Power System With Electric Vehicles And Large-scale Wind Power Integration

China is the second largest energy producer and consumer in the world at present. Energy supply continues to grow, as the important support of economic and social development, has become an indispensable part of the world energy market and it plays an increasingly important and active role for maintaining global energy security. In recent years, the clean energy of China has a rapid development. China is rich in wind energy resources and has a huge potential for development, but compared with the growth data of installed wind power capacity,the utilization hours of wind power is not optimistic. The mismatch of power and electricity market results in abandoned wind problems.Wind power has the features of intermittent, random and low schedulability,it will have a greater impact on the grid after large-scale wind power integration. To deal with global climate change and reducing greenhouse gas emissions, renewable energy technology is emphasized by people. At present, wind power is the most mature and the economic renewable energy except hydropower.The research and promotion of electric vehicle has become an important issue of national new energy sources development plan. The electric vehicles were included in 863 major research projects in 2001, after which the electric car industry has developed rapidly. The country launched a pilot project in several cities, including Beijing, Shanghai, to promote electric vehicles. The development of our electric vehicle charging station construction is late, it has not yet built the service network to meet the needs of different user for charging. The State Grid Corporation provided that build the energy supply system of electric vehicles according to the way "mainly for electricity, plug charging supplemented, centralized charging, uniform distribution,".In this paper, we set large-scale wind power integration and orderly management of electric vehicle charging as the research background, build the wind field model of double-fed wind turbine and permanent magnet direct drive wind turbine, build the electric vehicle (PEV) load scheduling model, set system generation costs and pollution gas emission as the optimization targets, integrate of wind farm, PEV scheduling model and build the multi-objective optimization model of coordinated scheduling. Using fast NSGA (NSGA-Ⅱ) to solve the coordinate scheduling model and by comparing the analysis of dual objectives to get the optimal solution similar to the actual situation.Based on the solution of the model,we discuss the role and impact of the scale of wind power and the size of electric cars on the efficiency indicators such as electric vehicle charging load, optimization goals on the basis of the actual data. According to the conclusion that the appropriate increase of PEV scale can effectively reduce the cost of power generation, expanding the diversity of the work type of PEV batteries can play better load shifting and adjust the balance between supply and demand; reduce the size of wind power will raise the level of pollutant emissions and increase the cost of power generation; The PEV scale and wind scale exists a Game balance in the multi-objective optimization process.