Australian Energy Market Operator National Electricity Market Network Optimal Power Flow Modelling

Fuente: arXiv
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Auteur principal: Colelough, Brandon Curtis
Format: Preprint
Publié: 2024
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author Colelough, Brandon Curtis
author_facet Colelough, Brandon Curtis
contents The HELM algorithm was used in this project to solve the optimal power flow problem introduced by a radial PandaPower network formulated from the data given by AEMO on the NEM network. Large losses were observed in the transmission infrastructure surrounding base-load power plants. These losses were not observed in areas that had a higher percentage of renewable power generation. Furthermore, the voltage levels present at the Hydro and Wind farms across Tasmania and South Australia were found to be stable in their steady state. A distributed network of renewable infrastructure is then proposed as a solution to the issues facing the NEM network.
format Preprint
id arxiv_https___arxiv_org_abs_2403_18851
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Australian Energy Market Operator National Electricity Market Network Optimal Power Flow Modelling
Colelough, Brandon Curtis
Physics and Society
The HELM algorithm was used in this project to solve the optimal power flow problem introduced by a radial PandaPower network formulated from the data given by AEMO on the NEM network. Large losses were observed in the transmission infrastructure surrounding base-load power plants. These losses were not observed in areas that had a higher percentage of renewable power generation. Furthermore, the voltage levels present at the Hydro and Wind farms across Tasmania and South Australia were found to be stable in their steady state. A distributed network of renewable infrastructure is then proposed as a solution to the issues facing the NEM network.
title Australian Energy Market Operator National Electricity Market Network Optimal Power Flow Modelling
topic Physics and Society
url https://arxiv.org/abs/2403.18851