NDLI: A modified mutative scale chaotic optimization algorithm for economic load dispatch

Content Provider	IEEE Xplore Digital Library
Author	Jun Wang Jianxin Zhou Fengqi Si Zhigao Xu
Copyright Year	2011
Description	Author affiliation: School of Energy and Environment, Southeast University, Nanjing, China (Jun Wang; Jianxin Zhou; Fengqi Si; Zhigao Xu)
Abstract	A modified mutative scale chaotic optimization (MMSCO) algorithm for economic load dispatch among power generation units is proposed in this paper. The MSCO does not require derivative information and uses stochastic random search instead of a gradient search. In MSCO, mutative scale chaotic sequences are changed into generation load variables through load maps for calculation of the cost function. But these load variables do not always correspond with load constraints, searching becomes random and sightless. In MMSCO, a novel load map is built after the chaotic search to ensure the load variables fit the feasible region. MMSCO is validated for a test system consisting of 13 thermal units whose incremental fuel cost function takes into account the valve-point loading effects. MMSCO is simple in concept, few in parameters, and easy in implementation. The proposed modified method outperforms other chaotic search algorithms in solving load dispatch problems with the valve-point effect.
Starting Page	3768
Ending Page	3771
File Size	293905
Page Count	4
File Format	PDF
ISBN	9781424491728
e-ISBN	9781424491711
DOI	10.1109/RSETE.2011.5965148
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Economics Chaos Heuristic algorithms Chaotic optimization Power system dynamics Economic load dispatch Mutative scale Load map Cost function Particle swarm optimization Valve-point effect
Content Type	Text
Resource Type	Article

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