A critical assessment of islanding detection methods of solar photovoltaic systems

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dc.contributor.author Abo-Khalil, Ahmed G.
dc.contributor.author Abdalla, Maaza
dc.contributor.author Bansal, Ramesh C.
dc.contributor.author Mbungu, Nsilulu T.
dc.date.accessioned 2024-03-20T07:21:49Z
dc.date.available 2024-03-20T07:21:49Z
dc.date.issued 2023-12
dc.description DATA AVAILABILITY : No data was used for the research described in the article. en_US
dc.description.abstract This 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.department Electrical, Electronic and Computer Engineering en_US
dc.description.librarian hj2024 en_US
dc.description.sdg SDG-07:Affordable and clean energy en_US
dc.description.uri https://www.elsevier.com/locate/csite en_US
dc.identifier.citation Abo-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.issn 2214-157X (online)
dc.identifier.other 10.1016/j.csite.2023.103681
dc.identifier.uri http://hdl.handle.net/2263/95296
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.rights © 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license. en_US
dc.subject Distributed generator en_US
dc.subject Control design en_US
dc.subject Distributed energy resources en_US
dc.subject Energy storage system en_US
dc.subject Protection en_US
dc.subject Renewable energy en_US
dc.subject Smart grid en_US
dc.subject SDG-07: Affordable and clean energy en_US
dc.title A critical assessment of islanding detection methods of solar photovoltaic systems en_US
dc.type Article en_US


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