遗传算法在电力系统无功优化中的应用

The Application of Genetic Algorithm in Reactive Power Optimization

详细介绍了浮点数编码遗传算法的编码、选择、交叉、变异等操作.该编码不仅可以降低算法的搜索空间,而且可以避免初始化及在遗传操作中生成的不可行解.将该算法用于IEEE30节点系统,结果表明,该方法降低了网络损耗,实现了电力系统的无功优化,得到了满意的结果.

The problems of reactive power optimization with genetic algorithm are discussed in detail in this paper. The crossover, mutation and inversion operations are proposed which not only reduces the search space, but also avoids the infeasible solutions produced during initialization and gene operations. The proposed genetic algorithm has been tested in an IEEE 30- bus power system. At the same time, based on the above genetic algorithm, network less of electric power systems can be effectively reduced, and then reactive power optimization can also be realized.