Generalized approach to assess and characterise the impact of solar PV on LV networks

Intelligent systems; Solar power generation; Stochastic models; Stochastic systems; Voltage distribution measurement; Low voltage distribution network; Mean absolute deviations; Monte Carlo techniques; Solar photovoltaics; Stochastic evaluations; Synthetic networks; Voltage unbalance factors; Voltag...

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Main Authors: Almeida D., Abeysinghe S., Ekanayake M.P., Godaliyadda R.I., Ekanayake J., Pasupuleti J.
Other Authors: 57211718103
Format: Article
Published: Elsevier Ltd 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-252252023-05-29T16:07:26Z Generalized approach to assess and characterise the impact of solar PV on LV networks Almeida D. Abeysinghe S. Ekanayake M.P. Godaliyadda R.I. Ekanayake J. Pasupuleti J. 57211718103 56960310900 56009765300 55560475200 7003409510 11340187300 Intelligent systems; Solar power generation; Stochastic models; Stochastic systems; Voltage distribution measurement; Low voltage distribution network; Mean absolute deviations; Monte Carlo techniques; Solar photovoltaics; Stochastic evaluations; Synthetic networks; Voltage unbalance factors; Voltage unbalances; Monte Carlo methods Many of the studies which analyse the impact of solar photovoltaic (PV) on low voltage distribution networks (LVDNs) are based on sample networks or synthetic networks such as IEEE test cases. Therefore, the conclusions drawn in these studies are often specific to the study cases, limiting their applicability for generalization. This paper proposes a methodology that can generate a multitude of network topologies that have statistically similar characteristics to a selected cohort of existing networks. Furthermore, a stochastic evaluation based on the Monte Carlo technique is utilized to analyse the impacts of solar PV on generated LVDN models. A case study was conducted on ten networks that were generated statistically similar to existing urban networks to allow for a more generalized study. A total of 1000 Monte Carlo simulations for each network was carried out to accurately identify the most representative parameters that reflect the voltage rise and voltage unbalance in the considered LVDN cohort. Two parameters, namely: the momentum of the PV capacity and the mean absolute deviation, were identified from the case studies as the most representative parameters to analyse the impact of voltage rise and voltage unbalance factor. Thereafter a generalized framework based on these two parameters was derived to determine the impact of PV connections to the selected cohort of networks. This framework facilitates an efficient process for the utility supplier to determine the impact of incorporating new PV connections without the need for extensive studies. � 2020 Elsevier Ltd Final 2023-05-29T08:07:26Z 2023-05-29T08:07:26Z 2020 Article 10.1016/j.ijepes.2020.106058 2-s2.0-85083561346 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083561346&doi=10.1016%2fj.ijepes.2020.106058&partnerID=40&md5=12f03fe9f1cc7bb7023651045f80578b https://irepository.uniten.edu.my/handle/123456789/25225 121 106058 Elsevier Ltd 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 Intelligent systems; Solar power generation; Stochastic models; Stochastic systems; Voltage distribution measurement; Low voltage distribution network; Mean absolute deviations; Monte Carlo techniques; Solar photovoltaics; Stochastic evaluations; Synthetic networks; Voltage unbalance factors; Voltage unbalances; Monte Carlo methods
author2 57211718103
author_facet 57211718103
Almeida D.
Abeysinghe S.
Ekanayake M.P.
Godaliyadda R.I.
Ekanayake J.
Pasupuleti J.
format Article
author Almeida D.
Abeysinghe S.
Ekanayake M.P.
Godaliyadda R.I.
Ekanayake J.
Pasupuleti J.
spellingShingle Almeida D.
Abeysinghe S.
Ekanayake M.P.
Godaliyadda R.I.
Ekanayake J.
Pasupuleti J.
Generalized approach to assess and characterise the impact of solar PV on LV networks
author_sort Almeida D.
title Generalized approach to assess and characterise the impact of solar PV on LV networks
title_short Generalized approach to assess and characterise the impact of solar PV on LV networks
title_full Generalized approach to assess and characterise the impact of solar PV on LV networks
title_fullStr Generalized approach to assess and characterise the impact of solar PV on LV networks
title_full_unstemmed Generalized approach to assess and characterise the impact of solar PV on LV networks
title_sort generalized approach to assess and characterise the impact of solar pv on lv networks
publisher Elsevier Ltd
publishDate 2023
_version_ 1806427726962229248