Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/33160
Title: Economic load dispatch using intelligent optimization with fuzzy control
Authors: Lai, JCY
Leung, FHF 
Ling, SH
Shi, EC
Keywords: Differential Evolution
Economic Load Dispatch
Fuzzy Control
Issue Date: 2011
Publisher: IEEE
Source: 2011 IEEE International Conference on Fuzzy Systems (FUZZ), 27-30 June 2011, Taipei, p. 2219-2224 How to cite?
Abstract: In this paper, Differential Evolution (DE) that incorporates fuzzy control and k-nearest neighbors algorithm is proposed to tackle the economic load dispatch problem. To provide the self-terminating ability, a technique called Iteration Windows (IW) is introduced to govern the number of iteration in each searching stage during the optimization. The size of IW is controlled by a fuzzy controller, which uses the information provided by the k-nearest neighbors system to analyze the population during the searching process. The controller keeps controlling the IW till the end of the searching process. A wavelet based mutation process is embedded in the DE searching process to enhance the searching performance. The weight F of DE is also controlled by the fuzzy controller to further speed up the searching process. The proposed method is employed to solve the Economic Load Dispatch with Valve-Point Loading (ELD-VPL) Problem. It is shown empirically that the proposed method can terminate the searching process with a reasonable number of iteration and performs significantly better than the conventional methods in terms of convergence speed and solution quality.
URI: http://hdl.handle.net/10397/33160
ISBN: 978-1-4244-7315-1
978-1-4244-7316-8 (E-ISBN)
ISSN: 1098-7584
DOI: 10.1109/FUZZY.2011.6007376
Appears in Collections:Conference Paper

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