Multi-Objective Decision Approach for Optimal Real-Time Switching Sequence of Network Reconfiguration Realizing Maximum Load Capacity

Ola Badran () and Jafar Jallad
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Ola Badran: Department of Electrical Engineering-Industrial Automation, Faculty of Engineering and Technology, Palestine Technical University—Kadoorie (PTUK), Tulkarm P.O. Box 7, Palestine
Jafar Jallad: Department of Electrical Engineering-Industrial Automation, Faculty of Engineering and Technology, Palestine Technical University—Kadoorie (PTUK), Tulkarm P.O. Box 7, Palestine

Energies, 2023, vol. 16, issue 19, 1-32

Abstract: One of the most famous methods for minimizing power loss is distribution network reconfiguration (DNR). Accordingly, many researchers have focused their work on finding a network’s optimal configuration in planning mode. However, few address the switching sequence process during operation mode. This paper introduces an innovative approach to minimize power loss in distribution networks. It addresses the often-overlooked real-time switching sequence order (SSO) during network operation, ensuring a smooth transition to the optimal configuration within operational constraints. Simultaneously, it optimizes distribution network reconfiguration (DNR) and distributed generation location and sizing (DG-LS) to maximize load capacity. The primary goal is to reduce power losses, improve voltage profiles, and enhance network efficiency. Utilizing multi-objective decision methods based on AHP, particle swarm optimization (PSO), and firefly algorithm (FA), this study achieves efficient results for SSO, DNR, and DG-LS optimization.

Keywords: switching sequence order; distribution network reconfiguration; maximum load capacity; DG location and sizing; loss reduction; voltage profile (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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