Proceedings of the International Conference on Computer Information Systems and Industrial Applications

Reactive Power Dispatch Based on Self-Adaptive Differential Evolution Hybrid Particle Swarm Optimization

Authors
C. Wang, Y.C Liu, H.H Guo, Y. Chen
Corresponding Author
C. Wang
Available Online June 2015.
DOI
https://doi.org/10.2991/cisia-15.2015.20How to use a DOI?
Keywords
reactive power dispatch; particle swarm optimization (PSO); self-adapting hybrid strategy; global optimization; differential Evolution (DE)
Abstract
Reactive power dispatch, which may have many local optima, is an important and challenging task in the operation and control of electric power system. This paper presents a Self-adaptive Differential Evolution hybrid Particle Swarm (SaDEPS) optimization algorithm for optimal reactive power dispatch problem. In this method, each particle is updated by a randomly selected strategy from a candidate pool, which contains strategies with different searching behaviors. SaDEPS applied to optimal reactive power dispatch is evaluated on IEEE 14-bus system. The numerical results, show that SaDEPS could find high-quality solutions with higher convergence speed and probability.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference on Computer Information Systems and Industrial Applications
Part of series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-72-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/cisia-15.2015.20How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - C. Wang
AU  - Y.C Liu
AU  - H.H Guo
AU  - Y. Chen
PY  - 2015/06
DA  - 2015/06
TI  - Reactive Power Dispatch Based on Self-Adaptive Differential Evolution Hybrid Particle Swarm Optimization
BT  - International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.20
DO  - https://doi.org/10.2991/cisia-15.2015.20
ID  - Wang2015/06
ER  -