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Differential evolution based on ε-domination and orthogonal design method for power environmentally-friendly dispatch

机译：基于ε支配和正交设计方法的电力环保调度差异演化

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摘要

This paper proposes a differential evolution algorithm based on ε-domination and orthogonal design method (ε-ODEMO) to solve power dispatch problem considering environment protection and saving energy. Besides the operation costs of thermal power plant, contaminative gas emission is also optimized as an objective. In the proposed algorithm, ε-dominance is adopted to make genetic algorithm obtain a good distribution of Pareto-optimal solutions in a small computational time, and the orthogonal design method can generate an initial population of points that are scattered uniformly over the feasible solution space, these modify the differential evolution algorithm (DE) to make it suit for multi-objective optimization (MOO) problems and improve its performance. A test hydrothermal system is used to verify the feasibility and effectiveness of the proposed method. Compared with other methods, the results obtained demonstrate the effectiveness of the proposed algorithm for solving the power environmentally-friendly dispatch problem.
机译：提出了一种基于ε-支配和正交设计方法（ε-ODEMO）的差分进化算法，解决了考虑环境保护和节能的电力调度问题。除了火力发电厂的运营成本外，还优化了污染气体排放。该算法采用ε-优势使遗传算法在较短的计算时间内获得帕累托最优解的良好分布，并且正交设计方法可以生成初始点的总体，这些点在可行解空间上均匀分散，它们修改了差分进化算法（DE），使其适合于多目标优化（MOO）问题并提高了其性能。测试水热系统被用来验证该方法的可行性和有效性。与其他方法相比，获得的结果证明了所提算法在解决电力环境友好调度问题上的有效性。

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