基于进化策略法的配电网无功规划

以系统不同负荷运行方式下的电能损耗和无功设备的投资费用之和最小为目标，建立了配电网无功规划数学模型，求解配置容量；同时对进化策略法进行了改进。为了更好地引入竞争机制和在种群规模较小下获得较大规模的多样性，在算法中引入双种群和“灾变”处理，对2个种群分别采用不同适应度犀数进行下一代的选择，通过对适应度的改进保证了种群的多样性，并降低了适应度值的“欺骗性”。在精英组中引入混沌搜索概念，易于跳出局部收敛。利用改进的进化策略法对算例进行分析计算，结果表明改过算法具有更好的全局寻优能力。

Reactive Power Planning of Distribution Network Based on Evolutionary Strategy Theory

In this paper a mathematical model for distribution network reactive power planning was established to solve the configuration capacity by taking the minimized sum of electrical energy loss at the different load operation mode and the investment for reactive power compensation equipments as the objective function. Meanwhile, the evolution strategy is improved. In order to better introduce competition mechanism and achieve population diversity, double populations and ‘catastrophe＇ are introduced. Different fitness functions is used respectively for the two populations to choose next generation, and the fitness is improved to ensure the diversity of population and the accuracy of the fitness values. Chaos search is introduced in the elite group to jump out of local convergence. A case study is conducted by use of improved evolution strategy method and results show that the improved algorithm has better global search capability for optimization.