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