Mubarak, Hamza and Mokhlis, Hazlie and Mansor, Nurulafiqah Nadzirah and Mohamad, Mahazani and Mohd Khairuddin, Anis Salwa and Afzal, Suhail (2021) Optimal distribution networks expansion planning with DG for power losses reduction. In: 3rd IEEE International Virtual Conference on Innovations in Power and Advanced Computing Technologies, i-PACT 2021, 27 November 2021, Virtual, Online.
Full text not available from this repository.Abstract
This paper proposes an optimal distribution networks expansion planning (DNEP) considering costs minimization to expand the networks, DG installation, and power losses under N-1 contingencies for every branch in the network with different load profiles. The proposed strategy has the capability to determine critical branches that significantly impacting the system power losses in case of outages. Due to the complexity of the proposed problem, hybrid metaheuristic technique comprises of Firefly algorithm and Particle Swarm Optimization were applied. The IEEE 33 bus system was utilized to validate the performance of the proposed method. The results shown that some branches have a huge impact on power losses during the N-1 contingency analysis. In addition, the power losses are minimized by 14.32 when DG is optimally considered in the planning strategy in terms of its sizing and placement. © 2021 IEEE.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Funders: | Universiti Malaya [Grant No: GPF045A-2019, ST014-2020] |
| Uncontrolled Keywords: | Particle swarm optimization (PSO), Cost minimization; Distribution network expansion planning; Distribution systems; Expansion planning; Hybrid metaheuristics; Load profiles; N-1 contingencies; Optimal distributions; Power loss reduction; Powerloss, Bioluminescence |
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering > Department of Electrical Engineering |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 16 Jul 2024 08:36 |
| Last Modified: | 16 Jul 2024 08:36 |
| URI: | http://eprints.um.edu.my/id/eprint/36122 |
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