Energy Saving Maximization of Balanced and Unbalanced Distribution Power Systems via Network Reconfiguration and Optimum Capacitor Allocation Using a Hybrid Metaheuristic Algorithm

Mohamed Abd-El-Hakeem Mohamed, Ziad M. Ali, Mahrous Ahmed and Saad F. Al-Gahtani
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Mohamed Abd-El-Hakeem Mohamed: Faculty of Engineering, Electric Department, Al-Azhar University, Qena 83511, Egypt
Ziad M. Ali: Electrical Engineering Department, College of Engineering at Wadi Addawaser, Prince Sattam bin AbdulAziz University, Wadi Addawaser 11991, Saudi Arabia
Mahrous Ahmed: Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
Saad F. Al-Gahtani: Electrical Engineering Department, Faculty of Engineering, King Khalid University, Abha 61411, Saudi Arabia

Energies, 2021, vol. 14, issue 11, 1-24

Abstract: The main aim of this work was the maximization of the energy saving of balanced and unbalanced distribution power systems via system reconfiguration and the optimum capacitor’s bank choice, which were estimated by using a new algorithm: modified Tabu search and Harper sphere search (MTS-HSSA). The results demonstrated that the proposed method is appropriate for energy saving and improving performance compared with other methods reported in the literature for IEEE 33-bus adopted systems, including large scale systems such as IEEE 119 and the IEEE 123 unbalanced distribution system. Moreover, it can be used for unbalanced distribution systems distributed generators (DGs). The results demonstrated that the proposed method (the optimal choice of shunt capacitor (SC) banks and the optimal reconfiguration via the proposed algorithm) is appropriate for energy saving compared with different strategies for energy saving, which included distributed generation (DG) at different cost levels.

Keywords: power losses; Tabu search; Harper sphere search; unbalanced system (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: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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