Title :
Hybrid of MST and Genetic Algorithm on Minimizing PMU Placement
Author :
Zhu Hui-Ling ; Duan Yuan-Xiu ; Zhang Xiao-Pan ; Qi Huan ; Huang Cheng-Xun
Author_Institution :
Coll. of Resource & Environ. Eng., Wuhan Univ. of Technol., Wuhan, China
Abstract :
An improved genetic algorithm(GA) named MST-GA is proposed to minimize amount of PMUs for fully observing huge scale power grid. It adopts minimum spanning tree algorithm to repair unfeasible solutions, and makes use of the topology of power grid in the process of mutation. The simulation results of IEEE30 and IEEE39-bus system show that the algorithm can balance the quality and diversity of solutions better than others.
Keywords :
genetic algorithms; phasor measurement; power grids; trees (mathematics); IEEE30-bus system; IEEE39-bus system; MST-GA; PMU placement; genetic algorithm; huge scale power grid; minimum spanning tree algorithm; mutation process; phasor measurement unit; power grid topology; Algorithm design and analysis; Genetic algorithms; Observability; Phasor measurement units; Power grids; Power system stability; Simulation; genetic algorithm; minimum spanning tree algorithm; optimal placement; phasor measurement unit; wide-area measurement system;
Conference_Titel :
Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-4893-5
DOI :
10.1109/ISDEA.2012.195
