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

The 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 distributio...

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Main Authors: Almeida D., Pasupuleti J., Raveendran S.K., Khan M.R.B.
Other Authors: 57211718103
Format: Article
Published: Institute of Advanced Engineering and Science 2023
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spelling my.uniten.dspace-261122023-05-29T17:06:54Z Monte Carlo analysis for solar PV impact assessment in MV distribution networks Almeida D. Pasupuleti J. Raveendran S.K. Khan M.R.B. 57211718103 11340187300 57064141200 55812128900 The 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. Final 2023-05-29T09:06:54Z 2023-05-29T09:06:54Z 2021 Article 10.11591/ijeecs.v23.i1.pp23-31 2-s2.0-85109448676 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109448676&doi=10.11591%2fijeecs.v23.i1.pp23-31&partnerID=40&md5=f9d5510f848dc51a7f26872ab8249556 https://irepository.uniten.edu.my/handle/123456789/26112 23 1 23 31 All Open Access, Gold, Green Institute of Advanced Engineering and Science Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description The 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.
author2 57211718103
author_facet 57211718103
Almeida D.
Pasupuleti J.
Raveendran S.K.
Khan M.R.B.
format Article
author Almeida D.
Pasupuleti J.
Raveendran S.K.
Khan M.R.B.
spellingShingle Almeida D.
Pasupuleti J.
Raveendran S.K.
Khan M.R.B.
Monte Carlo analysis for solar PV impact assessment in MV distribution networks
author_sort Almeida D.
title Monte Carlo analysis for solar PV impact assessment in MV distribution networks
title_short Monte Carlo analysis for solar PV impact assessment in MV distribution networks
title_full Monte Carlo analysis for solar PV impact assessment in MV distribution networks
title_fullStr Monte Carlo analysis for solar PV impact assessment in MV distribution networks
title_full_unstemmed Monte Carlo analysis for solar PV impact assessment in MV distribution networks
title_sort monte carlo analysis for solar pv impact assessment in mv distribution networks
publisher Institute of Advanced Engineering and Science
publishDate 2023
_version_ 1806426590423285760
score 13.211869

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