Optimal Allocation of PV-STATCOM Devices in Distribution Systems for Energy Losses Minimization and Voltage Profile Improvement via Hunter-Prey-Based Algorithm

Abdullah M. Shaheen (), Ragab A. El-Sehiemy, Ahmed Ginidi, Abdallah M. Elsayed and Saad F. Al-Gahtani
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Abdullah M. Shaheen: Department of Electrical Power Engineering, Faculty of Engineering, Suez University, Suez 43533, Egypt
Ragab A. El-Sehiemy: Department of Electrical Engineering, Faculty of Engineering, Kafrelsheikh University, Kafrelsheikh 33516, Egypt
Ahmed Ginidi: Department of Electrical Power Engineering, Faculty of Engineering, Suez University, Suez 43533, Egypt
Abdallah M. Elsayed: Electrical Engineering Department, Faculty of Engineering, Damietta University, Damietta 34517, Egypt
Saad F. Al-Gahtani: Department of Electrical Power Engineering, Faculty of Engineering, King Khalid University, Abha 61421, Saudi Arabia

Energies, 2023, vol. 16, issue 6, 1-20

Abstract: Incorporating photovoltaic (PV) inverters in power distribution systems via static synchronous compensators (PV-STATCOM) during the nighttime has lately been described as a solution to improve network performance. Hunter prey optimization (HPO) is introduced in this study for efficient PV-STATCOM device allocation in distribution systems. HPO generates numerous scenarios for how animals could act when hunting, some of which have been expanded into stochastic optimization. The PV-STATCOM device allocation issue in distribution networks is structured to simultaneously minimize the electrical energy losses and improve the voltage profile while accounting for variable 24 h loadings. The impacts of varying the number of installed PV-STATCOM devices are investigated in distribution systems. It is tested on two IEEE 33-node and 69-node distribution networks. The effectiveness of the proposed HPO is demonstrated in comparison to the differential evolution (DE) algorithm, particle swarm optimization (PSO), artificial rabbits algorithm (ARA), and golden search optimizer (GSO). The simulation results demonstrate the efficiency of the proposed HPO in adequately allocating the PV-STATCOM devices in distribution systems. For the IEEE 33-node distribution network, the energy losses are considerably decreased by 57.77%, and the voltages variance sum is significantly reduced by 42.84%. The energy losses in the IEEE 69-node distribution network decreased by 57.89%, while voltage variations are reduced by 44.69%. Additionally, the suggested HPO is highly consistent than the DE, PSO, ARA, and GSO. Furthermore, throughout the day, the voltage profile at all distribution nodes surpasses the minimum requirement of 95%.

Keywords: allocation of PV-STATCOM devices; distribution systems; energy losses minimization; hunter-prey-based algorithm (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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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