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Coyote multi-objective optimization algorithm for optimal location and sizing of renewable distributed generators

机译:可再生分布式发电机最优位置和尺寸的Coyote多目标优化算法

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Research on the integration of renewable distributed generators (RDGs) in radial distribution systems (RDS) is increased to satisfy the growing load demand, reducing power losses, enhancing voltage profile, and voltage stability index (VSI) of distribution network. This paper presents the application of a new algorithm called ‘coyote optimization algorithm (COA)’ to obtain the optimal location and size of RDGs in RDS at different power factors. The objectives are minimization of power losses, enhancement of voltage stability index, and reduction total operation cost. A detailed performance analysis is implemented on IEEE 33 bus and IEEE 69 bus to demonstrate the effectiveness of the proposed algorithm. The results are found to be in a very good agreement.
机译:增加了可再生分布式发电机(RDG)在径向分布系统(RDS)中的集成,以满足不断增长的负载需求,降低电力损耗,增强电压谱和分配网络的电压稳定性指数(VSI)。 本文介绍了一种名为“Coyote优化算法(COA)”的新算法的应用,以获得不同电源因素的RDS中RDG的最佳位置和大小。 目的是最小化功率损耗,增强电压稳定性指数,以及减少总操作成本。 在IEEE 33总线和IEEE 69总线上实现了详细的性能分析,以展示所提出的算法的有效性。 结果被发现是一个非常好的一致意见。

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