Optimization of Radial Distribution Network with Distributed Generation Using Particle Swarm Optimization Considering Load Growth

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 analysi...

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Main Authors: Abdullah, M.A.A., Mohd Saad, N., Abas, M.F., Jaalam, N., Ali, A.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.33281 /
Published: Springer Science and Business Media Deutschland GmbH 2022
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126943867&doi=10.1007%2f978-981-16-8690-0_24&partnerID=40&md5=0cd444c27d3d94e18716afc1a7862fff
http://eprints.utp.edu.my/33281/
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spelling utp-eprints.332812022-07-26T06:32:21Z Optimization of Radial Distribution Network with Distributed Generation Using Particle Swarm Optimization Considering Load Growth Abdullah, M.A.A. Mohd Saad, N. Abas, M.F. Jaalam, N. Ali, A. 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. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Springer Science and Business Media Deutschland GmbH 2022 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126943867&doi=10.1007%2f978-981-16-8690-0_24&partnerID=40&md5=0cd444c27d3d94e18716afc1a7862fff Abdullah, M.A.A. and Mohd Saad, N. and Abas, M.F. and Jaalam, N. and Ali, A. (2022) Optimization of Radial Distribution Network with Distributed Generation Using Particle Swarm Optimization Considering Load Growth. Lecture Notes in Electrical Engineering, 842 . pp. 257-268. http://eprints.utp.edu.my/33281/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description 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. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
format Article
author Abdullah, M.A.A.
Mohd Saad, N.
Abas, M.F.
Jaalam, N.
Ali, A.
spellingShingle Abdullah, M.A.A.
Mohd Saad, N.
Abas, M.F.
Jaalam, N.
Ali, A.
Optimization of Radial Distribution Network with Distributed Generation Using Particle Swarm Optimization Considering Load Growth
author_sort Abdullah, M.A.A.
title Optimization of Radial Distribution Network with Distributed Generation Using Particle Swarm Optimization Considering Load Growth
title_short Optimization of Radial Distribution Network with Distributed Generation Using Particle Swarm Optimization Considering Load Growth
title_full Optimization of Radial Distribution Network with Distributed Generation Using Particle Swarm Optimization Considering Load Growth
title_fullStr Optimization of Radial Distribution Network with Distributed Generation Using Particle Swarm Optimization Considering Load Growth
title_full_unstemmed Optimization of Radial Distribution Network with Distributed Generation Using Particle Swarm Optimization Considering Load Growth
title_sort optimization of radial distribution network with distributed generation using particle swarm optimization considering load growth
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2022
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126943867&doi=10.1007%2f978-981-16-8690-0_24&partnerID=40&md5=0cd444c27d3d94e18716afc1a7862fff
http://eprints.utp.edu.my/33281/
_version_ 1741197830043729920
score 11.62408

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