Optimization of radial distribution network with distributed generation using particle swarm optimization considering load growth

Muhammad Al Amin, Abdullah and Norhafidzah, Mohd Saad and Mohammad Fadhil, Abas and Norazila, Jaalam and Ali, Abid (2022) Optimization of radial distribution network with distributed generation using particle swarm optimization considering load growth. In: Lecture Notes in Electrical Engineering; 6th International Conference on Electrical, Control and Computer Engineering, InECCE 2021 , 23 August 2021 , Kuantan, Pahang. pp. 257-268., 842 (274719). ISSN 1876-1100 ISBN 978-981168689-4

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DOI/Official URL: https://doi.org/10.1007/978-981-16-8690-0_24

Abstract

This article presents a combination of particle swarm optimization (PSO) algorithm and the backward/forward sweep power flow (BFSPF) approach to determine the optimal bus location and size of distributed generation (DG) in a radial distribution network (RDN) considering the load growth. The analysis of the proposed optimization framework is performed using MATLAB and tested on the 33–bus RDN subject to minimize the power losses. The solutions accomplished through the experiments considering four case studies show significant reductions in the system’s total power loss and improvement in desired bus voltage profiles. With the installation of DG, the percentage of reduction in power loss is 47.38% compared to the system’s power loss without DG. The DG size and location to be installed are determined at the 6th bus location with 2.59 MW. The results show that power losses will increase with the increase in load demand. The findings reveal that load growth does not influence the optimal location of the DG. However, the sizes of DGs need to be revised when considering growth in load conditions.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Backward/Forward sweep power flow; Distribution generation; Particle swarm optimization; Radial distribution network
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	College of Engineering Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	03 Jan 2024 01:54
Last Modified:	03 Jan 2024 01:54
URI:	http://umpir.ump.edu.my/id/eprint/39845
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