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Multi-objective optimal PMU placement using a non-dominated sorting differential evolution algorithm

delete2010-10-01
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PRE
AI
彭春华 cover
彭春华 (Chunhua Peng) *
H
Huijuan Sun
郭建峰 cover
郭建峰 (Jianfeng Guo)
DOI:10.1016/j.ijepes.2010.01.024delete
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Abstract

Abstract

En 中文
Phasor measurement unit plays a great role in wide-area measurement system (WAMS) in power system. Based on analysis of observability of each bus while one of PMUs fails and under the precondition of full network observability, this paper presents a multi-objective optimal model of PMU placement with the objectives of minimization of the number of PMU and maximization of the N - 1 measurement reliability. A new NSDE algorithm, which is an organic integration of Pareto non-dominated sorting operation and differential evolution algorithm, is designed for the model. It improved individual crowding mechanism and mutation strategy effectively. Illustrative results on the 14- and 39-bus IEEE systems are presented to show the superiorities of this algorithm. (C) 2010 Elsevier Ltd. All rights reserved.
Keywords:
Non-dominated sorting
Differential evolution
Multi-objective optimization
PMU placement
N-1 reliability

Journal

I
International Journal of Electrical Power and Energy Systems
IF:
5
Papers:
1.1W
Citations:
3.1W

Organization

E
East China Jiaotong University
Scholars:
4.1K
Papers: 2.9K
Citations: 2.9K