A Novel Graphically-Based Network Reconfiguration for Power Loss Minimization in Large Distribution Systems
Ibrahim Mohamed Diaaeldin,
Shady H. E. Abdel Aleem,
Ahmed El-Rafei,
Almoataz Y. Abdelaziz and
Ahmed F. Zobaa
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Ibrahim Mohamed Diaaeldin: Engineering Physics and Mathematics Department, Ain Shams University, Cairo 11517, Egypt
Shady H. E. Abdel Aleem: Mathematical, Physical and Engineering Sciences Department, 15th of May Higher Institute of Engineering, Cairo 11731, Egypt
Ahmed El-Rafei: Engineering Physics and Mathematics Department, Ain Shams University, Cairo 11517, Egypt
Almoataz Y. Abdelaziz: Faculty of Engineering and Technology, Future University in Egypt, Cairo 11835, Egypt
Ahmed F. Zobaa: Electronic and Computer Engineering Department, Brunel University London, Uxbridge UB8 3PH, UK
Mathematics, 2019, vol. 7, issue 12, 1-17
Abstract:
Distribution network reconfiguration (DNR) is the optimized change in the topological structure of distribution systems without violating its radial configuration. DNR has been of interest in applied mathematics and engineering because of its importance in modern power systems. In literature, various optimization techniques that constitute a large area of applied mathematics were proposed to obtain optimized radial configurations; however, most of them were tested in small distribution systems. In this paper, a novel graphically-based DNR is proposed to obtain the optimized radial configurations for power loss minimization. The proposed DNR is based on the graphical representation of the distribution system without any need for a radiality check. Case studies were conducted on 16-, 33-, 70-, 83-, 136-, 415-, 880-, 1760-, and 4400-node distribution systems in order to minimize the total power loss. Results have proven the ability of the proposed graphical DNR for power loss minimization by obtaining fast radial configurations in comparison with previous studies and also its ability to deal with large distribution systems efficiently. The proposed DNR succeeded in minimizing the total losses for large distribution systems as the 880-, 1760-, and 4400-node distribution systems by 69.45%, 72.51%, and 74.35%, respectively.
Keywords: distribution network reconfiguration; graph theory; large distribution systems; power loss minimization (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (4)
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