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基于改进的遗传-模拟退火算法和误差度分析原理的PMU多目标优化配置

DOI: 10.13334/j.0258-8013.pcsee.2014.13.020, PP. 2178-2187

Keywords: 改进的遗传-模拟退火算法,同步相量测量单元(phasormeasurementunit,PMU)配置,状态估计,全网可观测性,多目标优化,Pareto最优解

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Abstract:

为了进一步优化同步相量测量单元(phasormeasurementunit,PMU)配置的合理性和效率,提出了一种新的误差度分析原理,并使用改进的遗传-模拟退火算法对多个IEEE标准测试系统进行了优化配置.该原理同时考虑了测量冗余度和状态估计的精度,并且避免引入雅可比矩阵,还具备可观测性分析的功能.研究结果表明:该算法不仅可以找到满足全网可观测性的所有PMU数目的配置解,而且进一步提升了全网的测量精度,从而证明了其有效性和优越性.

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