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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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 |
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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. |
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57211718103 |
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57211718103 Almeida D. Pasupuleti J. Raveendran S.K. Khan M.R.B. |
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Almeida D. Pasupuleti J. Raveendran S.K. Khan M.R.B. |
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Almeida D. Pasupuleti J. Raveendran S.K. Khan M.R.B. Monte Carlo analysis for solar PV impact assessment in MV distribution networks |
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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 |
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Institute of Advanced Engineering and Science |
publishDate |
2023 |
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1806426590423285760 |