Abstract

In this paper, an enhanced sitting–sizing scheme for shunt capacitors (4SCs) in a radial distribution system (RDS) based on an improved atom search optimization (IASO) algorithm is proposed. IASO emulates the model of atomic motion in nature based on interaction forces among atoms. The main goal of the 4SCs problem is to reduce the line losses and minimize the capacitor installation cost by searching for the optimal location and sizing of the capacitors. This leads to improvements in the voltage profile and reliability of the system. The IASO algorithm is introduced to achieve the optimal sitting and sizing of capacitors for RDSs. The proposed IASO algorithm is benchmarked and validated on different radial systems, including the IEEE 33-bus, IEEE 34-bus, IEEE 65-bus, IEEE 85-bus and Marsa Matrouh networks, to demonstrate its performance in real-world applications. The results obtained by the proposed IASO algorithm are compared with the standard ASO, PSO, SCA, GWO and SSA algorithms. Furthermore, the significance of the obtained results is confirmed by performing a nonparametric statistical test, i.e., the Wilcoxon’s rank-sum at the 5% significance level. The comprehensive results demonstrate that the results obtained by the proposed IASO algorithm denominate the results obtained by the other algorithms and that IASO minimizes the operating costs while achieving better voltage profiles.

中文翻译：

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使用改进的原子搜索优化的径向分配系统中并联电容器的增强的选座方案

摘要

本文提出了一种基于改进的原子搜索优化（IASO）算法的径向配电系统（RDS）中并联电容器（4SC）的增强的选座方案。IASO根据原子之间的相互作用力模拟自然界中的原子运动模型。4SC问题的主要目标是通过寻找电容器的最佳位置和尺寸来减少线路损耗并使电容器安装成本最小化。这导致电压曲线和系统可靠性的改善。引入IASO算法以实现RDS电容器的最佳放置和尺寸。提议的IASO算法在不同的径向系统上进行了基准测试和验证，这些径向系统包括IEEE 33总线，IEEE 34总线，IEEE 65总线，IEEE 85总线和Marsa Matrouh网络，展示其在实际应用中的性能。通过提议的IASO算法获得的结果与标准ASO，PSO，SCA，GWO和SSA算法进行了比较。此外，通过执行非参数统计检验，即在5％显着性水平下的Wilcoxon秩和，可以确认所获得结果的显着性。综合结果表明，所提出的IASO算法获得的结果表示其他算法所获得的结果，并且IASO在实现更好的电压曲线的同时将运营成本降至最低。Wilcoxon的秩和为5％显着性水平。综合结果表明，所提出的IASO算法获得的结果表示其他算法所获得的结果，并且IASO在实现更好的电压曲线的同时将运营成本降至最低。Wilcoxon的秩和在显着性水平为5％。综合结果表明，所提出的IASO算法获得的结果与其他算法所获得的结果相当，并且IASO在实现更好的电压曲线的同时将运营成本降至最低。