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

机译:一种基于动态搜索策略的改进差分进化方法,解决带阀点效应的动态经济调度问题

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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.
机译:提出了一种基于动态搜索策略(IDEBDSS)的改进的差分进化(DE)方法,以解决带有阀点效应的动态经济调度问题。提出的方法将DE算法与动态搜索策略相结合,提高了算法的性能。 DE是所提出方法中的主要优化器。在应用混沌序列获取动态参数设置的同时,采用全局搜索策略和局部搜索策略两步动态搜索策略来提高算法效率。为了加速收敛,在本地搜索策略中采用了一种新的不可行的解决方法。同时,在全局搜索策略中增加了正交交叉算子,以提高优化搜索能力。最后,通过三个测试系统证明了所提方法的可行性和有效性,仿真结果表明,IDEBDSS方法比标准DE和最近文献报道的其他方法能以更高的效率获得更好的解决方案。

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