摘要
利用新型优化理论一遗传算法进行电网无功功率优化,分析了简单遗传算法各个进化参数对无功优化性能的影响,并对简单遗传算法的生殖操作做了改进,引入多个种群同时进行优化搜索,大大降低遗传控制参数的不当设定对优化结果的影响。通过算例表明多种群遗传算法对抑制未成熟收敛的发生有明显的效果,并且经过同IEEE14节点配电网的算例结果比较,证明了该方法在电网无功优化中的有效性。
The new optimization theory,i.e.Genetic Algorithm is used for reactive power optimization.The effect of each evolution parameter of bas- ic genetic algorithm upon reactive optimization performance is analyzed.After that,the procreation operation of basic genetic algorithm is amended, many species are introduced and optimization search is made.Thereof,the effect of improper setting of genetic control parameters upon optimization result is reduced greatly.The results show that multi—population genetic algorithm has obvious effect on the restrain of immature convergence.At the same time,taking IEEE14 node system as concrete example,the effectiveness of this method has been proofed in reactive optimization of power network.
出处
《西北电力技术》
2005年第5期6-8,共3页
Northwest China Electric Power
关键词
遗传算法
电网无功功率
优化
genetic algorithm reactive power optimization
