Open Access

ARTICLE

Multi-Objective Approaches for Optimizing 37-Bus Power Distribution Systems with Reconfiguration Technique: From Unbalance Current & Voltage Factor to Reliability Indices

Murat Cikan^*

Adana Organize Industrial Region of Vocational School Technical Sciences, Cukurova University, Adana, 01410, Türkiye

* Corresponding Author: Murat Cikan. Email:

(This article belongs to the Special Issue: Computational Intelligent Systems for Solving Complex Engineering Problems: Principles and Applications-II)

Computer Modeling in Engineering & Sciences 2025, 143(1), 673-721. https://doi.org/10.32604/cmes.2025.061699

Received 01 December 2024; Accepted 20 February 2025; Issue published 11 April 2025

Abstract

This study examines various issues arising in three-phase unbalanced power distribution networks (PDNs) using a comprehensive optimization approach. With the integration of renewable energy sources, increasing energy demands, and the adoption of smart grid technologies, power systems are undergoing a rapid transformation, making the need for efficient, reliable, and sustainable distribution networks increasingly critical. In this paper, the reconfiguration problem in a 37-bus unbalanced PDN test system is solved using five different popular metaheuristic algorithms. Among these advanced search algorithms, the Bonobo Optimizer (BO) has demonstrated superior performance in handling the complexities of unbalanced power distribution network optimization. The study is structured around four distinct scenarios: (I) improving mean voltage profile and minimizing active power loss, (II) minimizing Voltage Unbalance Index (VUI) and Current Unbalance Index (CUI), (III) optimizing key reliability indices using both Line Oriented Reliability Index (LORI) and Customer Oriented Reliability Index (CORI) approaches, and (IV) employing multi-objective optimization using the Pareto front technique to simultaneously minimize active power loss, average CUI, and System Average Interruption Duration Index (SAIDI). The study aims to contribute to the development of more efficient, reliable, and sustainable energy systems by addressing voltage profiles, power losses, reduction of imbalance, and the enhancement of reliability together.

---

Keywords

---