DocumentCode :
3393755
Title :
Optimal Phasor Measurement Unit Placement by an Improved PSO Algorithm
Author :
Wang, Jian-ming ; Li Chuandong ; Zhang, Jian
Author_Institution :
Power Syst. Dept., China Electr. Power Res. Inst., Beijing, China
fYear :
2012
fDate :
27-29 March 2012
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents an Improved PSO Algorithm (IPSO) to solve the problem of optimal Phasor Measurement Unit (PMU) placement. The aim of Optimal PMU Placement problem is to guarantee both full observability of the power grid and minimal number of PMU. In the Improved PSO Algorithm, the point of genetic algorithm and simulated annealing process is involved into basic particle swarm optimization. To deal with the constraints, an improved Algorithm is developed and it can avoid costing much time and trapping local optimal solution. IEEE systems are tested to show the feasibility and effectiveness of the algorithm.
Keywords :
genetic algorithms; particle swarm optimisation; phasor measurement; simulated annealing; IEEE systems; IPSO algorithm; genetic algorithm; improved PSO algorithm; optimal PMU placement problem; optimal phasor measurement unit placement; particle swarm optimization; power grid; simulated annealing process; Observability; Phasor measurement units; Power measurement; Power systems; Simulated annealing; Voltage measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
ISSN :
2157-4839
Print_ISBN :
978-1-4577-0545-8
Type :
conf
DOI :
10.1109/APPEEC.2012.6307398
Filename :
6307398
Link To Document :
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