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Dispatching a 19-Unit Indian Utility System Using a Refined Differential Evolution Algorithm

机译:使用改进的差分进化算法调度19个单位的印度公用事业系统

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This paper presents a differential evolution with neighborhood based mutation (DE-NM) technique to solve Dynamic Economic Dispatch (DED) problem with valve point effects and multiple fuel options. A new mutation scheme based on neighborhood topology is presented with an aim to achieve the cost reduction together satisfying the dynamic behavior of the generating units over the considered time period. The neighborhood based mutation (NM) balances the exploration and exploitation of the search effort of differential evolution (DE) technique. The NM method enhances the convergence speed and the performance of the DE technique. The performance of the DE-NM is tested on a 10-unit and a real public Indian utility system with 19 generating units. Both the test systems are illustrated under different load patterns. The dispatch results obtained using the proposed method for the Indian system have considerably reduced the operating cost and optimized its operation.
机译:本文提出了一种基于邻域变异(DE-NM)的差分进化技术,以解决具有阀点效应和多种燃料选择的动态经济调度(DED)问题。提出了一种基于邻域拓扑的新变异方案,旨在实现成本降低,同时满足考虑时间段内发电机组的动态行为。基于邻域的变异(NM)平衡了对差分进化(DE)技术搜索工作的探索和开发。 NM方法提高了DE技术的收敛速度和性能。 DE-NM的性能在10台机组和一个带有19台发电机的印度公用事业系统上进行了测试。两种测试系统都在不同的负载模式下进行了说明。使用建议的方法为印度系统获得的调度结果大大降低了运营成本并优化了运营。

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