Optimal Placement of Phasor Measurement Units Using a Modified Canonical Genetic Algorithm for Observability Analysis

作     者：Rodrigo Albuquerque Frazao Aureio Luiz Magalhfies Denisson Oliveira Shigeaki Lima Igor Santos 

作者机构：Grenoble Electrical Engineering Laboratory Grenoble Institute of Technology Grenoble 38402 France Institute of Electrical Power Svstems. Federal University ofltaiub6. Itaiub6 37500-903. MG. Brazil Institute of Electrical Engineering Federal University of Maranh6o S6o Luis 65080-040 MA Brazil 

出 版 物：《Journal of Mechanics Engineering and Automation》 (机械工程与自动化（英文版）)

年 卷 期：2014年第4卷第3期

页      面：187-194页

学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学] 0835[工学-软件工程] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Synchronized phasor measurement units electrical power systems modified canonical genetic algorithm topologicalobservability critical measurements. 

摘      要：This paper proposes a method for optimal placement of synchronized PMUs （phasor measurement units） in electrical power systems using a MCGA （modified canonical genetic algorithm）, which the goal is to determine the minimum number of PMUs, as well as the optimal location of these units to ensure the complete topological observability of the system. In case of more than one solution, a strategy of analysis of the design matrix rank is applied to determine the solution with the lower number of critical measurements. In the proposed method of placement, modifications are made in the crossover and mutation genetic operators, as well as in the formation of the subpopulation, and are considered restrictive hypotheses in the search space to improve the performance in solving the optimization problem. Simulations are performed using the IEEE 14-bus, IEEE 30-bus and New England 39-bus test systems. The proposed method is applied on the IEEE 118-bus test system considering the presence of observable zones formed by conventional measurements.