DocumentCode :
2217451
Title :
Parallel particle swarm optimization for reactive power and voltage control verifying dependability
Author :
Fukuyama, Yoshikazu
Author_Institution :
Department of Network Design, School of Interdisciplinary Mathematical Science, Meiji University, Tokyo, Japan
fYear :
2015
fDate :
25-28 May 2015
Firstpage :
304
Lastpage :
310
Abstract :
This paper presents a parallel particle swarm optimization (PSO) for reactive power and voltage control (Volt/Var Control: VVC) in electric power systems verifying dependability of the control. Considering high penetration of renewable energies and deregulation of power systems, electric power flows can change suddenly and operators in control centers have to control voltage in wider power systems. Therefore, VVC is required to shorten the control interval and handle larger-scale power systems. One of the solutions for this problem is applications of parallel and distributed computing. Since electric power systems is one of the infrastructures of social community, sustainable voltage control is crucial and dependability is strongly required for VVC. This paper investigates not only fast computation by parallel computation but also dependability of parallel PSO for VVC. The results are meaningful for practical parallel computation by PSO in actual VVC operations.
Keywords :
Computational modeling; Load flow; Load modeling; Reactive power; Search problems; Voltage control; dependability; parallel and distributed computing; particle swarm optimization; reactive power and voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2015 IEEE Congress on
Conference_Location :
Sendai, Japan
Type :
conf
DOI :
10.1109/CEC.2015.7256906
Filename :
7256906
Link To Document :
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