A two-stage optimal network reconfiguration approach for minimizing energy loss of distribution networks using particle swarm optimization algorithm

Wei Tzer Huang, Tsai Hsiang Chen, Hong Ting Chen, Jhih Siang Yang, Kuo Lung Lian, Yung Ruei Chang, Yih Der Lee, Yuan Hsiang Ho

Research output: Contribution to journalArticle

6 Citations (Scopus)


This study aimed to minimize energy losses in traditional distribution networks and microgrids through a network reconfiguration and phase balancing approach. To address this problem, an algorithm composed of a multi-objective function and operation constraints is proposed. Network connection matrices based on graph theory and the backward/forward sweep method are used to analyze power flow. A minimizing energy loss approach is developed for network reconfiguration and phase balancing, and the particle swarm optimization (PSO) algorithm is adopted to solve this optimal combination problem. The proposed approach is tested on the IEEE 37-bus test system and the first outdoor microgrid test bed established by the Institute of Nuclear Energy Research (INER) in Taiwan. Simulation results demonstrate that the proposed two-stage approach can be applied in network reconfiguration to minimize energy loss.

Original languageEnglish
Pages (from-to)13894-13910
Number of pages17
Issue number12
Publication statusPublished - 2015 Jan 1


All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

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