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Optimal power system operation using parallel processing system and PSO algorithm
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AI
DOI：10.1016/j.ijepes.2011.06.026.png)
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Abstract
En 中文
In recent studies, PSO algorithm is applied to solve OPF problem. However, population based optimization method requires higher computing time to find optimal point. This shortcoming is overcome by a straightforward parallelization of PSO algorithm. The developed parallel PSO algorithm is implemented on a PC-cluster system with 8 Intel Pentium IV 2 GHz processors. The proposed approach has been tested on the test systems. The results showed that computing time of parallelized PSO algorithm can be reduced by parallel processing without losing the quality of solution. (C) 2011 Elsevier Ltd. All rights reserved.
Keywords:
Particle swarm optimization
Heuristic
Optimal power flow
PC cluster system
Parallel processing
Journal
I
IF:
5
Papers:
1.1W
Citations:
3.1W