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

DOI

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2015 International Power, Electronics and Materials Engineering Conference
PB  - Atlantis Press
SP  - 107
EP  - 110
SN  - 2352-5401
UR  - https://doi.org/10.2991/ipemec-15.2015.21
DO  - 10.2991/ipemec-15.2015.21
ID  - Qin2015/05
ER  -