Optimum distribution system expansion planning incorporating DG based on N-1 criterion for sustainable system

Mubarak, Hamza and Mansor, Nurulafiqah Nadzirah and Mokhlis, Hazlie and Mohamad, Mahazani and Mohamad, Hasmaini and Muhammad, Munir Azam and Al Samman, Mohammad and Afzal, Suhail (2021) Optimum distribution system expansion planning incorporating DG based on N-1 criterion for sustainable system. Sustainability, 13 (12). ISSN 2071-1050, DOI https://doi.org/10.3390/su13126708.

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Demand for continuous and reliable power supply has significantly increased, especially in this Industrial Revolution 4.0 era. In this regard, adequate planning of electrical power systems considering persistent load growth, increased integration of distributed generators (DGs), optimal system operation during N-1 contingencies, and compliance to the existing system constraints are paramount. However, these issues need to be parallelly addressed for optimum distribution system planning. Consequently, the planning optimization problem would become more complex due to the various technical and operational constraints as well as the enormous search space. To address these considerations, this paper proposes a strategy to obtain one optimal solution for the distribution system expansion planning by considering N-1 system contingencies for all branches and DG optimal sizing and placement as well as fluctuations in the load profiles. In this work, a hybrid firefly algorithm and particle swarm optimization (FA-PSO) was proposed to determine the optimal solution for the expansion planning problem. The validity of the proposed method was tested on IEEE 33- and 69-bus systems. The results show that incorporating DGs with optimal sizing and location minimizes the investment and power loss cost for the 33-bus system by 42.18% and 14.63%, respectively, and for the 69-system by 31.53% and 12%, respectively. In addition, comparative studies were done with a different model from the literature to verify the robustness of the proposed method.

Item Type: Article
Funders: Universiti Malaya [ST034-2020]
Uncontrolled Keywords: Expansion planning; Sustainable planning; Cost minimization; Firefly algorithm; N-1 contingency
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
G Geography. Anthropology. Recreation > GF Human ecology. Anthropogeography
Divisions: Faculty of Engineering > Department of Electrical Engineering
Depositing User: Ms Zaharah Ramly
Date Deposited: 27 Jun 2022 05:15
Last Modified: 27 Jun 2022 05:15
URI: http://eprints.um.edu.my/id/eprint/34017

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