Mohd Sayuti, Nur Syazana and Mohd Saad, Norhafidzah and Sujod, Mohamad Zahim and Abu Hanifah, Mohd Shahrin and Muhammad Ridzuan, Mohd Ikhwan and Abas, Mohammad Fadhil (2026) Assessing load uncertainty in the optimal allocation of photovoltaic distributed generation in radial distribution network. In: 2025 IEEE 9th International Conference on Software Engineering & Computer Systems (ICSECS), 15-16 October 2025, Pekan, Pahang, Malaysia.
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Abstract
The transition toward renewable energy in the distribution network is hindered by demand fluctuations and voltage instability, posing risks to reliable and efficient operation. This paper investigates load uncertainty in determining the optimal size and placement of photovoltaic distributed generation (PVDG), while accounting for time-varying, voltage-dependent load models representing commercial, industrial, and residential sectors. A hybrid backward/Forward Sweep-Grey Wolf Optimizer (BFS-GWO) method was developed to minimize power losses and improve voltage profiles in radial distribution systems. The proposed approach was validated in MATLAB on the standard IEEE 33-bus test system. The study compared the performance of networks with and without PVDGs under residential, commercial, and industrial load uncertainty, as well as comparing single and multiple PVDG configurations. Simulation results demonstrate that under uncertain conditions, the optimal integration of multiple PVDG significantly decreases total power losses up to 58.96% for residential, 54.51% for commercial, and 56.92% for industrial loads, and improves voltage profiles at critical buses to near 1.0 p.u.
| Item Type: | Proceeding Paper (Plenary Papers) |
|---|---|
| Uncontrolled Keywords: | Backward/Forward Sweep, Grey-Wolf Optimizer, Load Uncertainty, Photovoltaic Distributed Generation, Radial Distribution Network |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3001 Distribution or transmission of electric power. The electric power circuit |
| Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Engineering |
| Depositing User: | DR MOHD SHAHRIN ABU HANIFAH |
| Date Deposited: | 05 May 2026 12:00 |
| Last Modified: | 05 May 2026 12:00 |
| Queue Number: | 2026-04-Q3042 |
| URI: | http://irep.iium.edu.my/id/eprint/128617 |
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