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Hybrid PSO-DE for solving the economic dispatch problem with generator constraints

Author(s)
Khamsawang, S.
Wannakarn, P.
Jiriwibhakorn, S.
Date Issued
May 28, 2010
Type
Conference Paper
DOI
10.1109/ICCAE.2010.5451501
Abstract
This paper proposes an improved approach based on conventional particle swarm optimization (PSO) for solving an economic dispatch(ED) problem with considering the generator constraints. The mutation operators of the differential evolution (DE) are used for improving diversity exploration of PSO, which called hybrid particle swarm optimization - differential evolution (PSO-DE). The mutation operators are activated if velocity values of PSO nearly to zero or violated from the boundaries. Four scenarios of mutation operators are implemented for PSO-DE. The simulation results of all scenarios of the PSO-DE outperform over the PSO and other existing approaches which appeared in literatures. ©2010 IEEE.
Citation
2010 the 2nd International Conference on Computer and Automation Engineering Iccae 2010, 5, 135-139, 2010
Subjects

Differential evolutio...

Economic dispatch pro...

Mutation operator

Particle swarm optimi...

Prohibited operating ...

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