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Solving Economic Load Dispatch Problem by Imperialist Competitive Algorithm

机译:用帝国主义竞争算法解决经济负荷分配问题。

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摘要

This research displays an imperialist competitive algorithm (ICA) to solve economic dispatch problem by allocating the load demand among the available thermal units to keep the operating cost minimized as possible. ICA algorithm has been applied on three systems (6-15-40 units) with various restrictions as generation limits, ramp rate limits (RRL), prohibited operating zone (POZ), valve point loading (VPL) and transmission losses. The numerical results found from the suggested algorithm are compared with Vortex Search Algorithm (VSA), Gravitational Search Algorithm (GSA), jaya algorithm (jaya) and Modified Social Spider Algorithm (MSSA). The results exhibited that ICA is more powerful than other methods.
机译:这项研究显示了一种帝国主义竞争算法(ICA),可以通过在可用的热单元之间分配负载需求来解决经济调度问题,从而尽可能降低运行成本。 ICA算法已应用于三个系统(6-15-40个单元),并具有各种限制,例如发电限制,斜率限制(RRL),禁止运行区域(POZ),阀点负载(VPL)和传输损耗。从建议的算法中找到的数值结果与涡旋搜索算法(VSA),引力搜索算法(GSA),贾亚算法(jaya)和改良社会蜘蛛算法(MSSA)进行了比较。结果表明,ICA比其他方法更强大。

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