Optimum distribution system expansion planning incorporating dg based on n-1 criterion for sustainable system

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 opera...

Full description

Bibliographic Details
Published in:Sustainability (Switzerland)
Main Author: Mubarak H.; Mansor N.N.; Mokhlis H.; Mohamad M.; Mohamad H.; Muhammad M.A.; Al Samman M.; Afzal S.
Format: Article
Language:English
Published: MDPI AG 2021
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108588365&doi=10.3390%2fsu13126708&partnerID=40&md5=3e94a326c2348abc20841c022adac093
id 2-s2.0-85108588365
spelling 2-s2.0-85108588365
Mubarak H.; Mansor N.N.; Mokhlis H.; Mohamad M.; Mohamad H.; Muhammad M.A.; Al Samman M.; Afzal S.
Optimum distribution system expansion planning incorporating dg based on n-1 criterion for sustainable system
2021
Sustainability (Switzerland)
13
12
10.3390/su13126708
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108588365&doi=10.3390%2fsu13126708&partnerID=40&md5=3e94a326c2348abc20841c022adac093
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. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
MDPI AG
20711050
English
Article
All Open Access; Gold Open Access
author Mubarak H.; Mansor N.N.; Mokhlis H.; Mohamad M.; Mohamad H.; Muhammad M.A.; Al Samman M.; Afzal S.
spellingShingle Mubarak H.; Mansor N.N.; Mokhlis H.; Mohamad M.; Mohamad H.; Muhammad M.A.; Al Samman M.; Afzal S.
Optimum distribution system expansion planning incorporating dg based on n-1 criterion for sustainable system
author_facet Mubarak H.; Mansor N.N.; Mokhlis H.; Mohamad M.; Mohamad H.; Muhammad M.A.; Al Samman M.; Afzal S.
author_sort Mubarak H.; Mansor N.N.; Mokhlis H.; Mohamad M.; Mohamad H.; Muhammad M.A.; Al Samman M.; Afzal S.
title Optimum distribution system expansion planning incorporating dg based on n-1 criterion for sustainable system
title_short Optimum distribution system expansion planning incorporating dg based on n-1 criterion for sustainable system
title_full Optimum distribution system expansion planning incorporating dg based on n-1 criterion for sustainable system
title_fullStr Optimum distribution system expansion planning incorporating dg based on n-1 criterion for sustainable system
title_full_unstemmed Optimum distribution system expansion planning incorporating dg based on n-1 criterion for sustainable system
title_sort Optimum distribution system expansion planning incorporating dg based on n-1 criterion for sustainable system
publishDate 2021
container_title Sustainability (Switzerland)
container_volume 13
container_issue 12
doi_str_mv 10.3390/su13126708
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108588365&doi=10.3390%2fsu13126708&partnerID=40&md5=3e94a326c2348abc20841c022adac093
description 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. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
publisher MDPI AG
issn 20711050
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
_version_ 1809678158559969280