Differential evolution-based optimal placement of phase measurement unit considering measurement redundancy

作     者：Zhong-Jie Wang Shu-Ying Yuan Xuan Zhao Cheng-Chao Lu 

作者机构：College of Electronics and Information Tongji UniversityShanghai 201800P.R.China 

出 版 物：《International Journal of Modeling, Simulation, and Scientific Computing》 (建模、仿真和科学计算国际期刊（英文）)

年 卷 期：2015年第6卷第1期

页      面：212-222页

核心收录：

学科分类：0808[工学-电气工程] 080802[工学-电力系统及其自动化] 08[工学] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work was supported by National Natural Science Foundation of China under grant 71071116 Key Project of Basic Research of Shanghai Committee of Science&Technology under grant 10JC1415300 Program for New Century Excellent Talents in University of Ministry of Education of China under grant 306023. 

主　　题：Phase measurement unit(PMU) differential evolution(DE)algorithm optimal PMU placement(OPP)problem complete observability observation redundancy 

摘      要：Phase measurement unit(PMU)is the key equipment for electric power system,which has been used to monitor and control power grid.But it is too expensive to deploy on each bus.So,we need to investigate how to deploy PMU to satisfy our observation requirements with minimum PMU numbers.This problem is called the optimal PMU placement(OPP).In this paper,we employ differential evolution(DE)algorithm to solve the OPP problem.Our optimization target is to make the power grid completely observable with maximum redundancy and minimum number of PMU.The proposed method is tested on IEEE 14-bus system,IEEE 30-bus system and IEEE 57-bus system respectively with considering the zero injection.