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一种改进粒子群优化算法的配电网重构 被引量:3

Advanced Particle Swarm Optimization for the Restructure of the Power Distribution Network
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摘要 提出了一种改进的粒子群优化算法(RPSO)来解决配电网络重构问题。在RPSO中,根据配电网络的具体特点,将遗传算法中的优化编码技术引入粒子群优化方法中,通过粒子群体对基因代码的操作,提高算法的搜索性能。在寻优过程中,以适应度方差大小衡量粒子群体的"聚集"情况,并根据"聚集"情况来自适应调整群体的变异概率,用以克服粒子群优化算法(PSO)的早熟现象。通过对3个典型的IEEE测试网络重构,并与粒子群算法和遗传算法进行比较,改进的粒子群优化算法比粒子群算法和遗传算法具有更高的搜索效率。
出处 《东北电力技术》 2007年第10期11-15,共5页 Northeast Electric Power Technology
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参考文献12

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