Renewable Distributed Generations’ Uncertainty Modelling: A Survey
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Date
2021-01-27
Journal Title
Journal ISSN
Volume Title
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
Description
Keywords
uncertainty parameters, distributed generations, mathematical syntax, uncertainty modelling methods, renewable energy resource