A critical assessment of islanding detection methods of solar photovoltaic systems

dc.contributor.authorAbo-Khalil, Ahmed G.
dc.contributor.authorAbdalla, Maaza
dc.contributor.authorBansal, Ramesh C.
dc.contributor.authorMbungu, Nsilulu T.
dc.date.accessioned2024-03-20T07:21:49Z
dc.date.available2024-03-20T07:21:49Z
dc.date.issued2023-12
dc.descriptionDATA AVAILABILITY : No data was used for the research described in the article.en_US
dc.description.abstractThis study identifies inadvertent islanding in electrical networks incorporating Distributed Generators (DGs). With the global rise of DG deployment, it becomes imperative to scrutinize their influence on the network and guarantee that anti-islanding protective systems can accurately discern such conditions. However, it is equally important to prevent false alarms that might result in unwarranted DG disconnections during unrelated incidents. Fulfilling these stringent technical prerequisites is a fundamental aspect of ensuring the safe and dependable functioning of the electrical grid. Consequently, this investigation aims to comprehensively explore the scholarly discourse surrounding islanding detection methodologies for distributed generators. The manuscript assesses various methods for detecting islanding phenomena, spanning passive, active, and remote techniques. These include under/over voltage, Sandia frequency/voltage shift, Sandia frequency shift, and under/over frequency protection mechanisms. It offers an exhaustive review of diverse techniques to identify islanding in distributed generation networks, studying their respective merits, demerits, and overall efficacy in pinpointing this condition. Thus, this research holds paramount importance in bolstering the dependability of electrical networks incorporating DGs. It aids in advancing anti-islanding protection systems that satisfy crucial technical specifications.en_US
dc.description.departmentElectrical, Electronic and Computer Engineeringen_US
dc.description.librarianhj2024en_US
dc.description.sdgSDG-07:Affordable and clean energyen_US
dc.description.urihttps://www.elsevier.com/locate/csiteen_US
dc.identifier.citationAbo-Khalil, A.G., Abdalla, M., Bansal, R.C. & Mbungu, N.T. 2023, 'A critical assessment of islanding detection methods of solar photovoltaic systems', Case Studies in Thermal Engineering, vol. 52, art. 103681, pp. 1-22, doi : 10.1016/j.csite.2023.103681.en_US
dc.identifier.issn2214-157X (online)
dc.identifier.other10.1016/j.csite.2023.103681
dc.identifier.urihttp://hdl.handle.net/2263/95296
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license.en_US
dc.subjectDistributed generatoren_US
dc.subjectControl designen_US
dc.subjectDistributed energy resourcesen_US
dc.subjectEnergy storage systemen_US
dc.subjectProtectionen_US
dc.subjectRenewable energyen_US
dc.subjectSmart griden_US
dc.subjectSDG-07: Affordable and clean energyen_US
dc.titleA critical assessment of islanding detection methods of solar photovoltaic systemsen_US
dc.typeArticleen_US

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