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

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dc.citedby14
dc.contributor.authorAlmeida D.en_US
dc.contributor.authorAbeysinghe S.en_US
dc.contributor.authorEkanayake M.P.en_US
dc.contributor.authorGodaliyadda R.I.en_US
dc.contributor.authorEkanayake J.en_US
dc.contributor.authorPasupuleti J.en_US
dc.contributor.authorid57211718103en_US
dc.contributor.authorid56960310900en_US
dc.contributor.authorid56009765300en_US
dc.contributor.authorid55560475200en_US
dc.contributor.authorid7003409510en_US
dc.contributor.authorid11340187300en_US
dc.date.accessioned2023-05-29T08:07:26Z
dc.date.available2023-05-29T08:07:26Z
dc.date.issued2020
dc.descriptionIntelligent 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 methodsen_US
dc.description.abstractMany 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 Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo106058
dc.identifier.doi10.1016/j.ijepes.2020.106058
dc.identifier.scopus2-s2.0-85083561346
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85083561346&doi=10.1016%2fj.ijepes.2020.106058&partnerID=40&md5=12f03fe9f1cc7bb7023651045f80578b
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25225
dc.identifier.volume121
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleInternational Journal of Electrical Power and Energy Systems
dc.titleGeneralized approach to assess and characterise the impact of solar PV on LV networksen_US
dc.typeArticleen_US
dspace.entity.typePublication
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