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A Hybrid Differential Evolution Method For Dynamic Economic Dispatch With Valve-point Effects

机译:具有阀点效应的动态经济调度的混合差分进化方法

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Dynamic economic dispatch (DED) plays an important role in power system operation, which is a complicated nonlinear constrained optimization problem. It has non-smooth and non-convex characteristic when generation unit valve-point effects are taken into account. This paper proposes a novel hybrid method to solve DED problem with valvepoint effects, by integrating an improved differential evolution(IDE) with the Shor's r-algorithm. The proposed method is developed in such a way that IDE is applied as a based level search, which can give a good direction to the optimal global region, and a local search Shor's r-algorithm is used as a fine tuning to determine the optimal solution at the final. A feasibility-based selection comparison technique and a heuristic rule are devised to handle constraints effectively in IDE, which does not require penalty factors or any extra parameters and can guide the population to the feasible region quickly. The feasibility and effectiveness of the proposed hybrid method is demonstrated for an application example and the test results are compared with those of other methods. It is shown that the proposed method is capable of yielding higher quality solutions.
机译:动态经济调度(DED)在电力系统运行中起着重要作用,这是一个复杂的非线性约束优化问题。当考虑到发电单元的阀点效应时,它具有非平滑和非凸的特性。本文提出了一种新的混合方法,通过结合改进的微分进化算法(IDE)和Shor的r算法,解决带有阀点效应的DED问题。提出的方法的开发方式是将IDE用作基于级别的搜索,可以为最佳全局区域提供良好的方向,而局部搜索Shor的r算法用作微调以确定最佳解决方案在最后。设计了一种基于可行性的选择比较技术和启发式规则来有效地处理IDE中的约束,该约束不需要惩罚因子或任何其他参数,并且可以将种群快速地引导至可行区域。通过一个应用实例证明了该混合方法的可行性和有效性,并将测试结果与其他方法进行了比较。结果表明,所提出的方法能够产生更高质量的解决方案。

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