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首页> 外文期刊>Electric Power Components and Systems >Cuckoo Search-based Algorithm for Optimal Shunt Capacitors Allocations in Distribution Networks
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Cuckoo Search-based Algorithm for Optimal Shunt Capacitors Allocations in Distribution Networks

机译:基于布谷鸟搜索的配电网并联电容器最佳分配算法

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摘要

In this article, a Cuckoo search optimization-based approach has been applied to allocate static shunt capacitors along radial distribution networks. The objective function is adapted to reduce the system peak losses, to support the system voltage profile, and to improve overall system power factor. Higher potential buses for capacitor placement are Initially identified using a power loss index. At that moment, the proposed approach identifies optimal sizing and placement and takes the final decision for optimum location within the number of buses nominated with a minimum number of effective locations and with fewer injected VARs. The overall accuracy and performance of the proposed approach have been validated and tested on 33- and 69-bus radial distribution systems. The numerical results are compared with those obtained using recent heuristic methods, and statistical analysis proved that the problem-solving success of the cuckoo search are quite better than other heuristic methods.
机译:在本文中,已经应用了基于Cuckoo搜索优化的方法来沿径向配电网络分配静态并联电容器。目标函数适用于减少系统峰值损耗,支持系统电压曲线并提高整体系统功率因数。最初使用功率损耗指标来确定用于电容器放置的较高电势母线。那时,所提出的方法确定了最佳的尺寸和位置,并最终决定了在提名的公交车数量中的最佳位置,该公交车具有最少的有效位置和较少的注入VAR。该方法的整体精度和性能已在33总线和69总线径向分配系统上得到验证和测试。将数值结果与使用最新启发式方法获得的结果进行比较,并且统计分析证明,布谷鸟搜索解决问题的成功度比其他启发式方法要好得多。

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