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

ÇIKAN M.

CMES - Computer Modeling in Engineering and Sciences, cilt.143, sa.1, ss.673-721, 2025 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 143 Sayı: 1
  • Basım Tarihi: 2025
  • Doi Numarası: 10.32604/cmes.2025.061699
  • Dergi Adı: CMES - Computer Modeling in Engineering and Sciences
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Communication Abstracts, Compendex, INSPEC, Metadex, zbMATH, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.673-721
  • Anahtar Kelimeler: active power loss, line and customer reliability index, meta-heuristic optimization, unbalance voltage and current index, Unbalanced power distribution network
  • Çukurova Üniversitesi Adresli: Evet

Özet

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.