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Please use this identifier to cite or link to this item: https://repository.acu.edu.ng:443//handle/123456789/378
Title: Renewable Distributed Generations’ Uncertainty Modelling: A Survey
Authors: Ajeigbe, Olusayo A.
Munda, Josiah L.
Hamam, Yskandar
Keywords: uncertainty parameters
distributed generations
mathematical syntax
uncertainty modelling methods
renewable energy resource
Issue Date: 27-Jan-2021
Publisher: IEEE PES/IAS PowerAfrica
Abstract: Renewable energy distributed generation is reaching an unprecedented level of integration into power generation systems due to its numerous advantages. However, its increased penetration compounds the level of uncertainties being coped with in distribution systems. This aggravates the difficulty in making decisions in the context of large-scale penetration of renewable distributed generations, especially with the intermittent ones. Consequently, the analysis of uncertainty and modelling of the related system parameters is essential. This paper aims to provide a state-of-the-art review on uncertainty modelling approaches for distribution system studies and applications. This work focuses mainly on classifying and comparing the uncertainty modelling approaches and methodologies, presenting mathematical syntax of the methods, as well as the merits and demerits of the modelling methods. This study serves as the knowledge warehouse and selection tool for choosing the most suitable method for various applications
URI: http://repository.acu.edu.ng:8080/jspui/handle/123456789/378
ISSN: 978-1-7281-6746-6
Appears in Collections:Department of Electrical / Electronics Engineering

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