[1]李金灿,邹 恩.基于BPSO算法电力系统故障可观的PMU配置[J].江西师范大学学报(自然科学版),2017,(02):122-126.
 LI Jincan,ZOU En.Optimal PMU Placement for Fault Observability of Power System Based on BPSO[J].Journal of Jiangxi Normal University:Natural Science Edition,2017,(02):122-126.
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基于BPSO算法电力系统故障可观的PMU配置()
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《江西师范大学学报》(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2017年02期
页码:
122-126
栏目:
出版日期:
2017-03-01

文章信息/Info

Title:
Optimal PMU Placement for Fault Observability of Power System Based on BPSO
作者:
李金灿邹 恩
1.华南农业大学珠江学院,广东 广州 510900; 2.华南农业大学工程学院,广东 广州 510642
Author(s):
LI JincanZOU En
1.Zhujiang College,South China Agricultural University,Guangzhou Guangdang 510900,China; 2.Collegr of Engineering,South China Agricultural University,Guangzhou Guangdang 510642,China
关键词:
PMU最优配置 电力系统 故障可观 线性整数规划 二进制粒子群优化算法
Keywords:
optimal PMU placement power system fault observability integer linear programming(ILP) binary particle swarm optimization(BPSO)
分类号:
TP 311
文献标志码:
A
摘要:
针对电力系统故障可观状态下的PMU最优配置,提出了使用二进制粒子群优化算法(BPSO)进行处理.为了使用最少的PMU数目找到电力系统网络任一支路的故障,首先使用线性整数规划(ILP)对系统进行建模,再将BPSO算法引入进行优化,最后将该算法应用到IEEE-14,30和57节点标准测试系统,其优化过程亦考虑了零注入节点的影响.结果表明:该算法快速有效,适应用电力系统各种问题的优化.
Abstract:
The paper proposed the Binary Particle Swarm Optimization(BPSO)algorithm for optimal placement of phasor measurement units(PMU)to ensure observability under faulted conditions in power systems.The problem is to minimize the number of PMUs in order to locate any fault in a power system.Integer linear programming procedure is used for problem formulation.And then the BPSO algorithm is introduced to solve the problem.The algorithm is implemented on the IEEE-14bus,30-bus and 57-bus standard test systems with and without considering of zero injection buses.The simulation results show that the BPSO algorithm is fast and efficient.It is suitable for optimization problems of power systems.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2016-12-21基金项目:广东省自然科学基金(S2013040016144)资助项目.作者简介:李金灿(1983-),男,广东清远人,讲师,主要从事电力系统优化和自动化控制系统的研究.E-mail:8525434@qq.com通信作者:邹 恩(1956-),女,湖南株洲人,教授,博士,主要从事复杂控制系统的优化研究.E-mail:309083693@qq.com
更新日期/Last Update: 1900-01-01