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基于改进多种群量子粒子群算法的STATCOM选址及容量优化

DOI: 10.13334/j.0258-8013.pcsee.2015.S.010, PP. 75-81

Keywords: 无功优化,多目标优化,STATCOM,Pareto解集

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Abstract:

针对如何确定静止同步补偿器(staticsynchronouscompensator,STATCOM)的最佳安装位置及容量以减少系统有功网损,提高电压水平的问题,建立了综合考虑系统网损、电压偏差、投资及运行费用的多目标优化模型,以发电机无功出力、机端电压、变压器分接头档位、无功补偿容量等为约束条件进行求解。并利用提出的改进多种群量子粒子群算法(multiplepopulationquantumparticleswarmoptimization,MPQPSO)对STATCOM的安装地点及补偿容量进行组合优化,该算法采用多种群协同优化的方法,同时兼顾了算法的全局搜索和局部搜索能力。通过对IEEE30节点系统进行实例计算,并与量子粒子群算法(quantumparticleswarmoptimization,QPSO)优化结果进行对比,结果表明采用提出的算法能得到更优的解,且算法稳定性较好。

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