This paper proposes an analytical approach for reconfiguration simultaneously with DG hosting (RSDG) to reduce losses in the radial distribution networks (RDNs). Previous researches have mainly utilized Artificial Intelligence (AI) techniques that need dramatic computational efforts and may lead to local-optima. Through an extensive circuit analysis new terms called “Diff and Pivot” are proposed based on analytical formulations. The diff value represents the difference between the maximum loss reduction caused by a DG placed at a bus and the previous bus. Pivot relates diff values at every two successive branches. An algorithm named Pivot for Simultaneous Reconfiguration and DG Hosting (PSRH) is developed. For verification, PSRH is applied to IEEE-33, IEEE-69, and practical 84-bus RDNs and results are compared to AI techniques. Deduced outcomes are very encouraging with fewer computational steps. Moreover, the compromised solution of PSRH is superior when considering the outages of DGs as PV modules at night.

本文提出了一种与 DG 托管 (RSDG) 同时进行重新配置的分析方法，以减少径向配电网络 (RDN) 中的损耗。以前的研究主要利用需要大量计算工作并可能导致局部最优的人工智能 (AI) 技术。通过广泛的电路分析，基于分析公式提出了称为“Diff and Pivot”的新术语。diff 值表示由放置在总线上的 DG 引起的最大损耗减少与前一个总线之间的差异。Pivot 关联每两个连续分支的差异值。开发了一种名为 Pivot for Simultaneous Reconfiguration and DG Hosting (PSRH) 的算法。为了验证，将 PSRH 应用于 IEEE-33、IEEE-69 和实用的 84 总线 RDN，并将结果与​​ AI 技术进行比较。推导出的结果非常令人鼓舞，计算步骤更少。此外，当考虑 DG 作为光伏组件在夜间停电时，PSRH 的折衷解决方案是优越的。