Optimal power flow with conventional and non-conventional generating resources in modern grids considering environmental impacts

Paper

Johnathon, Chris, Agalgaonkar, Ashish, Kennedy, Joel and Afandi, Izzah. 2020. "Optimal power flow with conventional and non-conventional generating resources in modern grids considering environmental impacts." 29th Australasian Universities Power Engineering Conference (AUPEC 2019). Nadi, Fiji 26 - 29 Nov 2019 United States. https://doi.org/10.1109/AUPEC48547.2019.243753
Paper/Presentation Title

Optimal power flow with conventional and non-conventional generating resources in modern grids considering environmental impacts

Presentation TypePaper
AuthorsJohnathon, Chris (Author), Agalgaonkar, Ashish (Author), Kennedy, Joel (Author) and Afandi, Izzah (Author)
Journal or Proceedings TitleProceedings of the 29th Australasian Universities Power Engineering Conference (AUPEC 2019)
Number of Pages5
Year2020
Place of PublicationUnited States
ISBN9781728150437
Digital Object Identifier (DOI)https://doi.org/10.1109/AUPEC48547.2019.243753
Web Address (URL) of Paperhttps://ieeexplore.ieee.org/document/9084640
Web Address (URL) of Conference Proceedingshttps://ieeexplore.ieee.org/xpl/conhome/9079162/proceeding
Conference/Event29th Australasian Universities Power Engineering Conference (AUPEC 2019)
Event Details
29th Australasian Universities Power Engineering Conference (AUPEC 2019)
Event Date
26 to end of 29 Nov 2019
Event Location
Nadi, Fiji
Abstract

Optimal Power Flow (OPF) is a non-convex and highly constrained optimisation study which is used to find the most economical power export allocation from different generating resources. Policies to produce green electricity have led to the integration of non-conventional generating resources into the networks. However, non-conventional generators, like solar and wind, have intermittent power export due to their stochastic nature. This paper presents an OPF approach for modern grids integrated with conventional and non-conventional generating resources considering environmental impacts. Different loading and generation scenarios are considered for solving the probabilistic OPF using MATPOWER for an IEEE 30-bus transmission network. The results highlight the most economical mix of different generators thereby reducing the overall operational cost of the system.

KeywordsOptimal power flow; Monte Carlo simulation; stochastic generation; renewables; transmission systems; emissioncosts
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020400805. Electrical energy transmission, networks and systems
Public Notes

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Byline AffiliationsUniversity of Wollongong
Institution of OriginUniversity of Southern Queensland
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