Abstract

This paper proposes a novel hybrid (MFO-SCA) method based on Moth Flame Optimization (MFO) algorithm and Sine Cosine Algorithm (SCA). MFO is utilized for the exploitation phase while SCA is used for the exploration phase. In addition, the hybrid MFO-SCA method is used with combined power loss sensitivity (CPLS) to determine the optimal allocation of single and multiple of distributed generations (DGs) and capacitors in distribution system. In this paper, the total active power loss is used as a single objective function for incorporating DGs and capacitors in RDS. Also, this paper studies the system performance when integrating DGs or capacitors alone and DGs with capacitors simultaneously in RDS. The proposed method is validated using the standard IEEE 69-bus and IEEE 33-bus radial distribution system (RDS). From comparative study, the novel hybrid MFO-SCA proved its effectiveness in obtaining the best global optimum results of the objective function compared with other recent optimization techniques, especially SCA and MFO algorithms.

摘要

本文提出了一种基于飞蛾火焰优化（MFO）算法和正弦余弦算法（SCA）的新型混合（MFO-SCA）方法。MFO 用于开发阶段，而 SCA 用于探索阶段。此外，混合 MFO-SCA 方法与组合功率损耗灵敏度 (CPLS) 一起用于确定配电系统中单个和多个分布式电源 (DG) 和电容器的优化配置。在本文中，总有功功率损耗用作在 RDS 中包含 DG 和电容器的单个目标函数。此外，本文还研究了在 RDS 中单独集成 DG 或电容器以及同时集成 DG 和电容器时的系统性能。所提出的方法使用标准 IEEE 69 总线和 IEEE 33 总线径向分布系统 (RDS) 进行了验证。从比较研究来看，