A Hybrid Islanding Detection Method For Distribution Systems

Continuous operation of Renewable Energy Systems (RES) is achieved either in grid-connected mode or in autonomous mode in the form of Islands or Microgrid, which has predefined boundaries. Thus, distribution systems should be capable of detecting islanding condition for smooth transition to an Islan...

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Main Authors: Pouryekta A., Ramachandaramurthy V.K.
Other Authors: 56119220300
Format: Article
Published: Taylor and Francis Inc. 2023
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spelling my.uniten.dspace-237122023-05-29T14:51:10Z A Hybrid Islanding Detection Method For Distribution Systems Pouryekta A. Ramachandaramurthy V.K. 56119220300 6602912020 Continuous operation of Renewable Energy Systems (RES) is achieved either in grid-connected mode or in autonomous mode in the form of Islands or Microgrid, which has predefined boundaries. Thus, distribution systems should be capable of detecting islanding condition for smooth transition to an Islanded mode. In this article, a hybrid islanding detection method, which combines remote and passive methods, is proposed. Distributed Generation (DG) units can be in the form of inverter interfaced or synchronous based generators and when used together can cause difficulti�es in islanding detection such as delay or inaccurate detection. The number of DG units in the network also affects the accuracy of islanding detection. Thus a new hybrid method, which is based on communication and passive methods, is proposed to overcome this problem. The accuracy and effectiveness of the proposed hybrid method is investigated using PSCAD software. The proposed detection method features an improvement in detection accuracy. �, Copyright Association of Energy Engineers (AEE). Final 2023-05-29T06:51:10Z 2023-05-29T06:51:10Z 2018 Article 10.1080/21563306.2018.12029914 2-s2.0-85054298510 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054298510&doi=10.1080%2f21563306.2018.12029914&partnerID=40&md5=02aa6bda686c3ad76edc10ed581e139a https://irepository.uniten.edu.my/handle/123456789/23712 33 4 44 67 Taylor and Francis Inc. Scopus
institution Universiti Tenaga Nasional
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collection Institutional Repository
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country Malaysia
content_provider Universiti Tenaga Nasional
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description Continuous operation of Renewable Energy Systems (RES) is achieved either in grid-connected mode or in autonomous mode in the form of Islands or Microgrid, which has predefined boundaries. Thus, distribution systems should be capable of detecting islanding condition for smooth transition to an Islanded mode. In this article, a hybrid islanding detection method, which combines remote and passive methods, is proposed. Distributed Generation (DG) units can be in the form of inverter interfaced or synchronous based generators and when used together can cause difficulti�es in islanding detection such as delay or inaccurate detection. The number of DG units in the network also affects the accuracy of islanding detection. Thus a new hybrid method, which is based on communication and passive methods, is proposed to overcome this problem. The accuracy and effectiveness of the proposed hybrid method is investigated using PSCAD software. The proposed detection method features an improvement in detection accuracy. �, Copyright Association of Energy Engineers (AEE).
author2 56119220300
author_facet 56119220300
Pouryekta A.
Ramachandaramurthy V.K.
format Article
author Pouryekta A.
Ramachandaramurthy V.K.
spellingShingle Pouryekta A.
Ramachandaramurthy V.K.
A Hybrid Islanding Detection Method For Distribution Systems
author_sort Pouryekta A.
title A Hybrid Islanding Detection Method For Distribution Systems
title_short A Hybrid Islanding Detection Method For Distribution Systems
title_full A Hybrid Islanding Detection Method For Distribution Systems
title_fullStr A Hybrid Islanding Detection Method For Distribution Systems
title_full_unstemmed A Hybrid Islanding Detection Method For Distribution Systems
title_sort hybrid islanding detection method for distribution systems
publisher Taylor and Francis Inc.
publishDate 2023
_version_ 1806424496588980224
score 13.226694