电网技术Issue(8)：2063-2070,8.DOI:10.13335/j.1000-3673.pst.2014.08.007
考虑拓扑约束并采用改进遗传算法的PMU优化配置
Improved Genetic Algorithm Based Optimal Configuration of PMUs Considering Topological Constraints
摘要
Abstract
To further improve the efficiency of configuring synchronous phasor measurement units (PMUs) and promote its application in large-scale power system, a hybrid optimization algorithm integrated with artificial intelligence and graph theory is proposed. Based on four topological reconfiguration rules and three PMU configuration rules, the constraints for PMU configuration in the power grid is attained gradually utilizing topological constraint analysis, and the feasible solution space is effectively reduced. A genetic algorithm (GA) based on serial-number coding is proposed. Meanwhile the improved crossover and mutation operators are utilized to avoid the appearance of infeasible solutions during the multiplicative process. Thus the high-efficient optimization can be performed. Simulation results of IEEE 30-bus system, IEEE 57-bus system and IEEE 118-bus system show that using the proposed algorithm not only the configuration scheme with minimized number of PMUs can be obtained accurately, but also a higher computational speed can be achieved in large-scale power grid.关键词
PMU优化配置/拓扑约束/遗传算法/序号编码/图论/可观测性分析Key words
optimal PMU configuration/topological constraints/genetic algorithm/serial number coding/graphic theory/observability analysis分类
信息技术与安全科学引用本文复制引用
赵媛媛,袁澎,艾芊,吕天光..考虑拓扑约束并采用改进遗传算法的PMU优化配置[J].电网技术,2014,(8):2063-2070,8.基金项目
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)。Project Supported by National Science and Technology Support Plan(2013BAA01B04) （2013BAA01B04）
Project Supported by Science and Technology Project of State Grid Company of China （）
