Renewable Distributed Generations’ Uncertainty Modelling: A Survey
| dc.contributor.author | Ajeigbe, Olusayo A. | |
| dc.contributor.author | Munda, Josiah L. | |
| dc.contributor.author | Hamam, Yskandar | |
| dc.date.accessioned | 2023-12-05T10:39:16Z | |
| dc.date.available | 2023-12-05T10:39:16Z | |
| dc.date.issued | 2021-01-27 | |
| dc.description.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 | en_US |
| dc.identifier.issn | 978-1-7281-6746-6 | |
| dc.identifier.uri | http://repository.acu.edu.ng:8080/jspui/handle/123456789/378 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | IEEE PES/IAS PowerAfrica | en_US |
| dc.subject | uncertainty parameters | en_US |
| dc.subject | distributed generations | en_US |
| dc.subject | mathematical syntax | en_US |
| dc.subject | uncertainty modelling methods | en_US |
| dc.subject | renewable energy resource | en_US |
| dc.title | Renewable Distributed Generations’ Uncertainty Modelling: A Survey | en_US |
| dc.type | Article | en_US |
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