Proceedings of the 2015 International Power, Electronics and Materials Engineering Conference

Cloud Adaptive Chaos Particle Swarm Optimization Algorithm for Economic Load Dispatch of Power System

Authors
Zhucai Qin
Corresponding Author
Zhucai Qin
Available Online May 2015.
DOI
https://doi.org/10.2991/ipemec-15.2015.21How to use a DOI?
Keywords
Economic Load Dispatch; Cloud Adaptive; Chaotic Variation; Particle Swarm Optimization Algorithm
Abstract
A cloud adaptive chaos particle swarm optimization algorithm is proposed for economic load dispatch problems of power system, which has the characteristics of nonlinear, non-convex and discontinuous. Normal cloud generator was used to adaptively adjust the inertia weight of each particles, so as to optimize their optimization direction and improve the convergence speed of the algorithm; and the chaotic variation operation was introduced to adjust the particle’s positions, so as to improve the diversity of the solution and avoid falling into local optimum. Simulation of 6 unit system demonstrates that the proposed algorithm has high accuracy and quick speed used in economic load dispatch of power system.
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Proceedings
2015 International Power, Electronics and Materials Engineering Conference
Part of series
Advances in Engineering Research
Publication Date
May 2015
ISBN
978-94-62520-73-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/ipemec-15.2015.21How 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  - Zhucai Qin
PY  - 2015/05
DA  - 2015/05
TI  - Cloud Adaptive Chaos Particle Swarm Optimization Algorithm for Economic Load Dispatch of Power System
BT  - 2015 International Power, Electronics and Materials Engineering Conference
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/ipemec-15.2015.21
DO  - https://doi.org/10.2991/ipemec-15.2015.21
ID  - Qin2015/05
ER  -