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首页> 外文期刊>International Journal of Swarm Intelligence and Evolutionary Computation >Coua Bird-Inspired Algorithm for Solving Power System Problem
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Coua Bird-Inspired Algorithm for Solving Power System Problem

机译：Coua Bird启发式算法求解电力系统问题

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In this paper an optimal short-term hydrothermal generation (OHG) is used to determine the optimal operation for cascaded hydropower plants and thermal plants considering equality constraints including water time delay, reservoir volume constraint, continuity water constraint , power balance constraint, and inequality constraints such as the limits of thermal and hydro generations. Coua bird-inspired algorithm (CA) is successfully applied for solving the OHG problem. Assessment of the technique’s enactment is done by comparing the obtained results from it and other methods reported in the paper on four hydrothermal systems in which thermal units consider the valve point loading effect and a four cascaded reservoir system is taken into account.
机译：本文采用最优短期水热发电（OHG）来确定级联水力发电厂和火力发电厂的最优运行，其中考虑了水时延，水库容量约束，连续性水约束，功率平衡约束和不平等约束等相等约束例如火力发电和水力发电的极限。 Coua鸟启发算法（CA）已成功应用于解决OHG问题。通过比较从该技术获得的结果和该论文报告的其他方法对四个水热系统进行评估，其中四个热液系统中的热力单元考虑了阀点负载效应，并考虑了四个级联的水库系统。

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