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Monte Carlo analysis for solar PV impact assessment in MV distribution networks

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dc.citedby1
dc.contributor.authorAlmeida D.en_US
dc.contributor.authorPasupuleti J.en_US
dc.contributor.authorRaveendran S.K.en_US
dc.contributor.authorKhan M.R.B.en_US
dc.contributor.authorid57211718103en_US
dc.contributor.authorid11340187300en_US
dc.contributor.authorid57064141200en_US
dc.contributor.authorid55812128900en_US
dc.date.accessioned2023-05-29T09:06:54Z
dc.date.available2023-05-29T09:06:54Z
dc.date.issued2021
dc.description.abstractThe rapid penetration of solar photovoltaic (PV) systems in distribution networks has imposed various implications on network operations. Therefore, it is imperative to consider the stochastic nature of PV generation and load demand to address the operational challenges in future PV-rich distribution networks. This paper proposes a Monte Carlo based probabilistic framework for assessing the impact of PV penetration on medium voltage (MV) distribution networks. The uncertainties associated with PV installation capacity and its location, as well as the time-varying nature of PV generation and load demand were considered for the implementation of the probabilistic framework. A case study was performed for a typical MV distribution network in Malaysia, demonstrating the effectiveness of Monte Carlo analysis in evaluating the potential PV impacts in the future. A total of 1000 Monte Carlo simulations were conducted to accurately identify the influence of PV penetration on voltage profiles and network losses. Besides, several key metrics were used to quantify the technical performance of the distribution network. The results revealed that the worst repercussion of high solar PV penetration on typical Malaysian MV distribution networks is the violation of the upper voltage statutory limit, which is likely to occur beyond 70% penetration level. � 2021 Institute of Advanced Engineering and Science. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.11591/ijeecs.v23.i1.pp23-31
dc.identifier.epage31
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85109448676
dc.identifier.spage23
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85109448676&doi=10.11591%2fijeecs.v23.i1.pp23-31&partnerID=40&md5=f9d5510f848dc51a7f26872ab8249556
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26112
dc.identifier.volume23
dc.publisherInstitute of Advanced Engineering and Scienceen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleIndonesian Journal of Electrical Engineering and Computer Science
dc.titleMonte Carlo analysis for solar PV impact assessment in MV distribution networksen_US
dc.typeArticleen_US
dspace.entity.typePublication
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