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Cuckoo search algorithm for power loss minimization by optimal capacitor allocation in radial power systems

机译:径向电力系统最优电容分配的功率损耗最小化咕咕案

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This paper presents one of the latest nature-inspired meta-heuristics algorithms known as Cuckoo Search Algorithm (CSA) to solve optimal capacitor placement and sizing (OCPS) problem in radial power systems for the purpose of maximizing annual net saving by reducing the power losses with the acceptable voltage ranges. In the proposed algorithm, discrete nature of the capacitors is considered. Forward and backward sweep (FBS) algorithm is applied for computing power losses and bus voltages. To show the superiority and effectiveness of proposed CSA in solving OCPS problem, standard IEEE 9 bus radial distribution system is used. The obtained results are compared with other methods in literature and the contribution in terms of the quality of solution is reported.
机译:本文介绍了称为Cuckoo搜索算法(CSA)的最新自然启发的元启发式算法之一,以解决径向电力系统中的最佳电容器放置和大小(OCPS)问题,以便通过降低功率损耗来最大化年度净节省具有可接受的电压范围。在所提出的算法中,考虑了电容器的离散性。向前和向后扫描(FBS)算法用于计算功率损耗和总线电压。为了表明所提出的CSA在解决OCP问题中的优势和有效性,使用标准IEEE 9总线径向分布系统。将得到的结果与文献中的其他方法进行比较,并报告了溶液质量方面的贡献。

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