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| 基于多目标进化算法的PMU的优化配置 | |
| 引用本文： | 李大虎,曹一家,江全元,占震滨.基于多目标进化算法的PMU的优化配置[J].电网技术,2005,29(22):45-49. |
| 作者姓名： | 李大虎 曹一家 江全元 占震滨 |
| 作者单位： | 1. 华中科技大学,电气与电子工程学院,湖北省,武汉市,430074 2. 浙江大学,电气工程学院,浙江省,杭州市,310027 3. 浙江省电力调度通信中心,浙江省,杭州市,310027 |
| 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。 |
| 关 键 词： | NULL |
| 文章编号： | 1000-3673(2005)22-0045-05 |
| 修稿时间： | 2005年5月25日 |
Optimal Placement of Phasor Measurement Unit Based on Multi-Objective Evolutionary Algorithm |
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| LI Da-hu,CAO Yi-jia,JIANG Quan-yuan,ZHAN Zhen-bin.Optimal Placement of Phasor Measurement Unit Based on Multi-Objective Evolutionary Algorithm[J].Power System Technology,2005,29(22):45-49. | |
| Authors: | LI Da-hu CAO Yi-jia JIANG Quan-yuan ZHAN Zhen-bin |
| Abstract: | 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-objective evolutionary algorithm (MOEA) can obtain many feasible optimal placement schemes of PMU. The rationality of the proposed method is verified by IEEE 39-bus system. |
| Keywords: | Power system Phasor measurement unit (PMU) Multi-objective evolutionary algorithm (MOEA) Pareto optimal solution Observability |
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