Optimal Placement of Phasor Measurement Units Using Immunity Genetic Algorithm

被引：210

作者：

Aminifar, Farrokh ^{[1
]}

Lucas, Caro ^{[2
]}

Khodaei, Amin ^{[1
]}

Fotuhi-Firuzabad, Mahmud ^{[1
]}

机构：

[1] Sharif Univ Technol, Dept Elect Engn, Ctr Excellence Power Syst Control & Management, Tehran, Iran

[2] Univ Tehran, Dept Elect & Comp Engn, CIPCE, Tehran, Iran

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 2009年 / 24卷 / 03期

关键词：

Genetic algorithm (GA); immunity genetic algorithm (IGA); observability analysis; optimal placement of PMUs (OPP); phasor measurement unit (PMU); OBSERVABILITY;

D O I：

10.1109/TPWRD.2009.2014030

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper investigates the application of immunity genetic algorithm (IGA) for the problem of optimal placement of phasor measurement units (PMUs) in an electric power network. The problem is to determine the placement sites of the minimal set of PMUs which makes the system observable. Incorporating immune operator in the canonical genetic algorithm (GA), on the condition of preserving GA's advantages, utilizes some characteristics and knowledge of the problems for restraining the degenerative phenomena during evolution, so as to improve the algorithm efficiency. This type of prior knowledge about some parts of optimal solution exists in the PMU placement problem. So, the IGA is adopted in this paper to solve the problem. Also, a new effect which is preventing from familial reproduction is studied which shows an increase in converging speed. The effectiveness of the proposed method is verified via IEEE standard systems and a realistic large-scale power system.

引用

页码：1014 / 1020

页数：7

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