考虑拓扑约束并采用改进遗传算法的PMU优化配置

发布时间：2018-01-11 02:16

本文关键词：考虑拓扑约束并采用改进遗传算法的PMU优化配置　出处：《电网技术》2014年08期 　论文类型：期刊论文

【摘要】：为了进一步提高同步相量测量单元(phasor measurement unit,PMU)配置的效率以及其在大规模系统中的应用,提出一种结合人工智能方法和图论方法的混合优化算法。该算法以4种拓扑重构规则和3种PMU配置规则为基础,利用拓扑约束分析法逐步得出目标电网PMU配置的约束条件,有效缩小了问题的可行解空间,并提出基于序号编码法的遗传算法(genetic algorithm,GA),使用改进的交叉变异算子避免繁殖过程中出现不可行解,从而进行高效的优化。算例表明,所提算法不仅能够准确得到最小PMU配置数目,而且对大系统也具有较快的运算速度,在大规模系统PMU配置中具有很高的应用价值。
[Abstract]:In order to further improve the efficiency of phasor measurement unit (PMU) configuration and its application in large-scale systems. A hybrid optimization algorithm combining artificial intelligence and graph theory is proposed, which is based on four topology reconstruction rules and three PMU configuration rules. By using the topological constraint analysis method, the constraint conditions of the PMU configuration of the target power network are obtained step by step, which effectively reduces the feasible solution space of the problem. A genetic algorithm based on ordinal coding is proposed, in which the improved crossover mutation operator is used to avoid the infeasible solution during reproduction. An example shows that the proposed algorithm can not only get the minimum number of PMU configurations accurately, but also has a faster operation speed for large systems. It has high application value in large scale system PMU configuration.
【作者单位】：上海交通大学电气工程学院;华东电力设计院;
【基金】：国家科技支撑计划项目(2013BAA01B04) 国家电网公司2012年科技项目(以电网低碳化为特征的智能电网综合集成技术研究与示范)~~
【分类号】：TM933.31
【正文快照】： 0引言基于GPS的相量测量单元(phasor measurementunit,PMU)是电力系统高精度量测装置,是未来实现智能电网的基础。它可以实时采集配置节点的电压相量和关联支路电流相量,为电力系统状态认知提供基本测量量[1-2]。由于它的实时性和全网装置的同步性,PMU必将逐步取代SCADA系统在

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