The influences of an improved pumped-wind-hydro-thermal optimization strategy in power system and research on different optimal proportion in different large regional grid

Until the end of the year 2015, the world's installed capacity of wind power reached 432419MW. And the capacity of wind farm in China was 145.1GW, which was 141.6GW in European Union at the same time. China became an important region that has the largest wind installed capacity. Wind power has its characteristic of randomness and uncertain. And the large-scale wind would bring a lot of challenge to the safety and economic of operation in state grid. At the present, the fluctuation of wind power is adjusted through the participating of thermal units, which is a waste of fossil energy and money. Due to the fluctuation caused by integration of large-scale wind power, current grid can not deal with it without considering the features of renewable energy. In recent years, the pumped-storage stations had been proposed to arrange the output in order to smooth the fluctuation of wind power. In this paper, an new scheduling policy is put forward to deal with the randomness of wind farm and to improve the intermittent of wind power. The improved pumped-wind-hydro-thermal optimization strategy discussed here only aims at cutting down the fluctuation and operation cost, but also improving the power generation of clean energy. The main algorithm was based on the improved particle swarm optimization algorithm. We simulated several different large regional grids and discussed the impact of different optimal proportion in different large regional grid.