Min-Max Regret-Based Approach for Sizing and Placement of DGs in Distribution System under a 24 h Load Horizon

Asad Abbas, Saeed Mian Qaisar, Asad Waqar, Nasim Ullah and Ahmad Aziz Al Ahmadi
Additional contact information
Asad Abbas: Department of Electrical Engineering, Chungnam National University, Daejeon 34134, Korea
Saeed Mian Qaisar: College of Engineering, Effat University, Jeddah 22332, Saudi Arabia
Asad Waqar: Department of Electrical Engineering, Bahria University, Islamabad 44000, Pakistan
Nasim Ullah: Department of Electrical Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia
Ahmad Aziz Al Ahmadi: Department of Electrical Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia

Energies, 2022, vol. 15, issue 10, 1-32

Abstract: Load variations in any power system result in loss escalation and voltage drops. With the sensible and optimal allocation of distributed generators (DGs), these problems could be considerably mitigated. It has been seen in existing methods that, ideally, the allocation of DGs has been carried out during fixed loads and constant power requirements. However, in real scenarios the loads are always variable and the allocation of DGs must be done in accordance with the variations of the connected load. Therefore, the current paper addresses the aforementioned problem by the distinctive optimal allocation of DGs for each variability of 24 h load horizon. However, a single exclusive solution is considered among all allocations of 24 h. The min-max regret concept has been utilized in order to deal with such a methodology. Altogether, 24 scenarios are analyzed wherein each scenario corresponds to a specific hour of the respective day. The optimal allocation of DGs in terms of their optimal sizing and placement has been carried out by using three algorithms including battle royale optimization (BRO), accelerated particle swarm optimization (APSO), and genetic algorithm (GA). The multi-objective optimization problem is evaluated on the basis of minimum value criterion of the multi-objective index (MO). MO comprises active and reactive power losses and voltage deviation. Hence, in order to find the robustness of the proposed technique, Conseil international des grands reseaux electriques’ (CIGRE) MV benchmark model incorporating 14 buses has been used considerably as a test network. In the end, the results of three proposed algorithms have been compared.

Keywords: distributed generators; sizes and locations of DGs; DGs’ allocation; power losses; min-max regret criteria; battle royale optimization (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: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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