期刊文献+

基于多目标进化算法的相量测量单元优化配置 被引量:11

Optimal Placement of Phasor Measurement Unit Based on Multi-Objective Evolutionary Algorithm
下载PDF
导出
摘要 研究了配置相量测量单元(PMU)后电力系统可观测性的判断方法,以保证电力系统完全可观测为约束条件,以配置PMU数目最小和保证测量量具有最大量测冗余度为目标,建立了PMU最优配置问题的数学模型。这是一个多目标优化问题,需要寻求一组Pareto最优解,应用多目标进化算法求解该问题可以得到多种满足条件的PMU配置可行方案。最后,以IEEE39节点系统为例验证了该方法的合理性。 The analysis method to judge the observability of power system equipped with phasor measurement units (PMUs) is studied. Taking the observability of whole system as constraint condition and both minimal number of PMUs to be equipped and maximal measurement redundancy of measured quantities as the objectives, the mathematical model of optimal placement of PMU is formed. This is a multi-objective optimization problem, so a set of Pareto optimal solutions have to be sought. Solving this problem by multi-object...
出处 《电网技术》 EI CSCD 北大核心 2005年第22期45-49,75,共6页 Power System Technology
关键词 电力系统 相量测量单元(PMU) 多目标进化算法(MOEA) PARETO最优解 可观测性 Power system Phasor measurement unit (PMU) Multi-objective evolutionary algorithm (MOEA) Pareto optimal solution Observability
  • 相关文献

参考文献8

  • 1[1]Phadke A G. Synchronized phasor measurements in power system[J]. IEEE Computer Applications in Power, 1993,6(3): 10-15. 被引量:1
  • 2[2]Burnett R O Jr, Butts M M, Cease T W et al. Synchronized phasor measurements of a power system event[J]. IEEE Trans on Power Systems, 1994, 9(3): 1643-1650. 被引量:1
  • 3[8]Ota Y, Ukai H, Nakamura K. Evaluation of stability and electric power system quality in power system by using phasor measurements[C]. Proceedings of International Conference on Power System Technology, Australia, 2000, 3: 1335-1340. 被引量:1
  • 4[9]Marin F J, Garcia-Logos F, Joya G et al. Genetic algorithms for optimal placement of phasor measurement units in electrical networks[J]. Electronics Letters, 2003, 39(19): 1403-1405. 被引量:1
  • 5[13]Milosevic B, Begvic M. Nondominated sorting genetic algorithm for optimal phasor measurement placement[J]. IEEE Trans on Power Systems, 2003, 18(1): 69-75. 被引量:1
  • 6[14]Coello C A C. An empirical study of evolutionary techniques for multi-objective optimization in engineering design[D]. New Orleans:Tulane University, 1996. 被引量:1
  • 7[15]Denegri G B, Invernizzi M, Milano F. A security oriented approach to PMU positioning for advanced monitoring of a transmission grid[C]. Proceedings of International Conference on Power System Technology, 2002, 2: 798-803. 被引量:1
  • 8[16]Cho K S, Shin J R, Hyun S H. Optimal placement of phasor measurement units with GPS receiver[C]. IEEE Power Engineering Society Winter Meeting, 2001, 1: 258-262. 被引量:1

同被引文献162

引证文献11

二级引证文献71

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部