Abstract and Applied Analysis

An Improved Differential Evolution Method Based on the Dynamic Search Strategy to Solve Dynamic Economic Dispatch Problem with Valve-Point Effects

Guangyu Chen and Xiaoqun Ding

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Abstract

An improved differential evolution (DE) method based on the dynamic search strategy (IDEBDSS) is proposed to solve dynamic economic dispatch problem with valve-point effects in this paper. The proposed method combines the DE algorithm with the dynamic search strategy, which improves the performance of the algorithm. DE is the main optimizer in the method proposed. While chaotic sequences are applied to obtain the dynamic parameter settings in DE, dynamic search strategy which consists of two steps, global search strategy and local search strategy, is used to improve algorithm efficiency. To accelerate convergence, a new infeasible solution handing method is adopted in the local search strategy; meanwhile, an orthogonal crossover (OX) operator is added to the global search strategy to enhance the optimization search ability. Finally, the feasibility and effectiveness of the proposed methods are demonstrated by three test systems, and the simulation results reveal that the IDEBDSS method can obtain better solutions with higher efficiency than the standard DE and other methods reported in the recent literature.

Article information

Source
Abstr. Appl. Anal., Volume 2014 (2014), Article ID 175417, 15 pages.

Dates
First available in Project Euclid: 2 October 2014

Permanent link to this document
https://projecteuclid.org/euclid.aaa/1412277144

Digital Object Identifier
doi:10.1155/2014/175417

Mathematical Reviews number (MathSciNet)
MR3248846

Zentralblatt MATH identifier
07021867

Citation

Chen, Guangyu; Ding, Xiaoqun. An Improved Differential Evolution Method Based on the Dynamic Search Strategy to Solve Dynamic Economic Dispatch Problem with Valve-Point Effects. Abstr. Appl. Anal. 2014 (2014), Article ID 175417, 15 pages. doi:10.1155/2014/175417. https://projecteuclid.org/euclid.aaa/1412277144


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