基于改进遗传算法的阀点负荷经济调度

IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468) Pub Date : 2003-11-02 DOI:10.1109/IECON.2003.1280021

S. Ling, H.K. Lam, F. Leung, Y.S. Lee

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引用次数: 40

摘要

经济负荷调度是电力系统优化问题之一。提出了一种改进的遗传算法，用于具有阀点负荷的负荷经济调度。引入了新的交叉和变异操作。采用改进的遗传算法求解了三种情况下具有阀点负荷的经济调度问题。给出了测试结果，并与不同已发表的遗传算法进行了比较。结果表明，改进的遗传算法比已有的遗传算法性能更好。

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Improved genetic algorithm for economic load dispatch with valve-point loadings

Economic load dispatch is one of the optimization problems in power systems. This paper presents an improved genetic algorithm for economic load dispatch with valve-point loadings. New crossover and mutation operations are introduced. The solutions of the economic load dispatch with valve-point loadings under three cases are solved by the improved genetic algorithm. Test results are given and compared with those from different published genetic algorithms. It is shown that the proposed improved genetic algorithm performs better than the published genetic algorithms.

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来源期刊

IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468)

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