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Multi-objective based on parallel vector evaluated particle swarm optimization for optimal steady-state performance of power systems
- Source :
-
Expert Systems with Applications . Oct2009, Vol. 36 Issue 8, p10802-10808. 7p. - Publication Year :
- 2009
-
Abstract
- In this paper the state-of-the-art extended particle swarm optimization (PSO) methods for solving multi-objective optimization problems are represented. We emphasize in those, the co-evolution technique of the parallel vector evaluated PSO (VEPSO), analysed and applied in a multi-objective problem of steady-state of power systems. Specifically, reactive power control is formulated as a multi-objective optimization problem and solved using the parallel VEPSO algorithm. The results on the IEEE 30-bus test system are compared with those given by another multi-objective evolutionary technique demonstrating the advantage of parallel VEPSO. The parallel VEPSO is also tested on a larger power system this with 136 busses. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 09574174
- Volume :
- 36
- Issue :
- 8
- Database :
- Academic Search Index
- Journal :
- Expert Systems with Applications
- Publication Type :
- Academic Journal
- Accession number :
- 40113433
- Full Text :
- https://doi.org/10.1016/j.eswa.2009.02.079