For improving the issue of the frequency modulation capability and frequency stability reduction of power grid system at a high penetration rate of new energy,while taking into account the economic benefits of the system,a capacity optimized configuration scheme for frequency support of collaboration between flywheel energy storage and wind turbines based on typical wind power scenario probability is proposed in this paper.Firstly,the improved K-means clustering algorithm is used to process the annual historical processing data of wind power,and four typical operating scenarios and their probabilities of wind power are obtained.Then,the operational model and frequency regulation control strategy of the wind-storage integrated system are set up based on the characteristics of wind turbines and flywheel energy storage.Finally,a capacity optimized configuration model for wind-storage integrated system is set up with the objective function of maximizing annual economic benefits,and the optimized configuration model is solved by using the particle swarm optimization(PSO)algorithm.The configuration scheme is compared with the scenario of only having wind turbines through simulation.The results show that the proposed configuration scheme has great improvement in annual economic benefits and frequency modulation completion rate and the rationality and effectiveness of the scheme are proved.
关键词
风储协同/K-means聚类/风电场景概率/飞轮储能系统/频率支撑/粒子群优化算法
Key words
wind-storage integrated/K-means clustering/wind power scenario probability/flywheel energy storage system/frequency support/particle swarm optimization(PSO)algorithm
维普
万方数据