基于粒子群算法的风电——抽水蓄能联合运行优化研究

从提高风电场效益与供电可靠性的角度出发,建立了风电—抽水蓄能电站联合运行系统的优化模型。利用混沌初始化与混沌扰动的思想对基本粒子群优化算法进行了改进,并对模型进行了求解。运用算例验证了计算方法的正确性,证明了风电—抽水蓄能电站的联合运行,能够提高风电场的收益和供电可靠性,有效缓解了风力发电的随机性和间歇性难题。

A study on particle swarm optimization based optimization of joint operation of wind power and pumped-storage hydropower generation

From the aspect to enhance the benefit and the power supply reliability of wind power plant， a optimization model for the joint operation of wind power and pumped-storage hydropower plants are established， i.e. the particle swarm optimization are improved with the concepts of chaos initialization and chaos perturbation， and then the model is solved. The correctness of the calculation method is certified by the relevant calculating case concerned; which shows that the joint operation of wind power and pumped-storage hydropower can not only enhance both the benefit and the power supply reliability of wind power plant， but can also alleviate the problems from the randomicity and the intermittence of the wind power generation.