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2023 | OriginalPaper | Buchkapitel

Islanding Detection in Distributed Generation System Using MLPNN and ELPID Methods

verfasst von : Sushree Shataroopa Mohapatra, Manoj Kumar Maharana, Abhilash Pradhan, P. K. Panigrahi, R. C. Prusty

Erschienen in: Smart Technologies for Power and Green Energy

Verlag: Springer Nature Singapore

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Abstract

Renewable energy generation techniques have received a lot of attention and development in recent years. As a key source of renewable energy, distributed generation (DG) is effective. These contrasting assets are able to combine as a hybrid energy system with a micro-grid, delivering electric power with the option of cooling or heating. The biggest issue with this type of DG is islanding. When DG deliveries power to loads once severing from the grid, islanding occurs. For islanding detection of distributed generation, the Eradicate Liability Passive Islanding Detection (ELPID) methodologies of Point of Common Coupling (PCC), Rate of Change of Frequency (ROCOF), and Rate of Change of Frequency (ROCOF) are utilized in this study.

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Vorheriges Kapitel Random Forest Regression-Based Fault Location Scheme for Transmission Lines

Nächstes Kapitel Simulation and Analysis of Medium-Voltage Low-Speed Cyclo-Converter Synchronous Motor Drive and Issues with on-Load Speed Trimming

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Titel: Islanding Detection in Distributed Generation System Using MLPNN and ELPID Methods
verfasst von: Sushree Shataroopa Mohapatra
Manoj Kumar Maharana
Abhilash Pradhan
P. K. Panigrahi
R. C. Prusty
Verlag: Springer Nature Singapore
Buch: Smart Technologies for Power and Green Energy
Print ISBN: 978-981-19-2763-8

Electronic ISBN: 978-981-19-2764-5

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-981-19-2764-5_18

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