.png){kind=icon}
返回
Multi-objective optimal PMU placement using a non-dominated sorting differential evolution algorithm
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ijepes.2010.01.024.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
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.
Keyword:
Non-dominated sorting
Differential evolution
Multi-objective optimization
PMU placement
N-1 reliability
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
I
IF:
5
论文数:
1.1W
被引数:
3.1W
机构
引用论文
Multiobjective evolutionary algorithms: A comparative case study and the Strength Pareto approach多目标进化算法: 比较案例研究和强度帕累托方法
.png){kind=icon}
PREAI
分享收藏
分享收藏
查看更多内容