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Optimal Capacitor Allocation in Radial Distribution Networks Using a Combined Optimization Approach

机译:使用组合优化方法的径向配电网电容器优化分配

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摘要

In this article, a combined optimization approach (COA) based on Salp Swarm Algorithm (SSA) and loss sensitivity indices is proposed to determine the optimal allocation of shunt capacitors (SCs) in radial distribution networks (RDNs). SSA is considered a new efficient optimization algorithm. However, COA is mainly based on three-stage procedures that reduce the search space and the total computation time is reduced. In the first stage, two loss sensitivity factors called voltage loss sensitivity factor (VLSF) and reactive power loss sensitivity factor (QLSF) are employed to select the candidate buses. Then, these candidate buses are normalized (the buses with voltage magnitudes greater than 1.01 p.u. are eliminated from search space. Finally, the SSA optimization code is used to determine the optimal siting and size of SCs after candidate buses normalization. In this study, the minimization of power loss and energy cost are taken as objective functions. The proposed algorithm is validated using different standard distribution systems such as, 69-bus, 85-bus test systems. In addition, the application of the COA is applied on real radial distribution system of the East Delta Network (EDN) as a part of the unified Egyptian network. However, the numerical experiments proved that the proposed algorithm can generate optimal solutions for losses reduction and capacitor allocations with quality better than many existing optimization algorithms.
机译:本文提出了一种基于Salp Swarm算法(SSA)和损耗敏感度指标的组合优化方法(COA),以确定径向配电网(RDN)中并联电容器(SC)的最佳分配。 SSA被认为是一种新的高效优化算法。但是,COA主要基于三阶段过程,这减少了搜索空间,并且减少了总计算时间。在第一阶段,使用两个损耗敏感度因子(称为电压损耗敏感度因子(VLSF)和无功功率损耗敏感度因子(QLSF))来选择候选总线。然后,对这些候选总线进行归一化处理(从搜索空间中删除电压幅度大于1.01 pu的总线。最后,使用SSA优化代码来确定候选总线归一化后的SC的最佳选址和大小。以功率损耗和能源成本的最小化为目标函数,并通过69总线,85总线测试系统等不同的标准配电系统对算法进行了验证,并将COA应用于实际的径向配电。作为埃及统一网络一部分的东部三角洲网络(EDN)系统,但是数值实验证明,与许多现有的优化算法相比,该算法可以产生降低损耗和电容器分配的最佳解决方案。

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