Solving dynamic economic dispatch problems using cellular differential evolution
Solving dynamic economic dispatch problems using cellular differential evolution
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DOI：
10.1109/cec.2011.5949947
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发表时间：
2011-06
期刊：
影响因子：
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通讯作者：
N. Noman;H. Iba
中科院分区：
文献类型：
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作者：
N. Noman;H. Iba
本文提出了用于解决阀点效应的动态经济调度（DED）问题的细胞差异演化（CDE）算法。 DED是许多平等和不平等约束的高维优化问题。可以使用种群结构来解决使用进化算法（EAS）解决高维优化问题（EAS）的过早融合问题。这项工作调查了一种称为CDE的结构化DE算法的适用性，以解决这些较大的维度优化任务。使用的两个测试系统分别由10和13个热单元组成，对所提出的算法的适用性和有效性进行了验证。数值结果清楚地表明，所提出的方法在解决方案质量和鲁棒性方面优于现有方法。
This paper proposes cellular differential evolution (cDE) algorithm for solving dynamic economic dispatch (DED) problems with valve-point effects. DEDs are high dimensional optimization problems with many equality and inequality constraints. The problem of premature convergence in solving high dimensional optimization problems using evolutionary algorithms (EAs) could be fought using population structuring. This work investigates the suitability a structured DE algorithm, called cDE, in solving these large dimensional optimization tasks. The suitability and effectiveness of the proposed algorithm is validated using two test systems consisting of 10 and 13 thermal units respectively. Numerical results clearly show that the proposed method outperforms existing methods in terms of solution quality and robustness.