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Open grid model of Australia’s National Electricity Market allowing backtesting against historic data
Rising electricity prices, concerns regarding system security, and emissions reduction are central to an energy policy debate under way in Australia. To better evaluate mechanisms that seek to address the nexus of engineering, economic, and environmental challenges facing the country’s electricity s...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6206589/ https://www.ncbi.nlm.nih.gov/pubmed/30351307 http://dx.doi.org/10.1038/sdata.2018.203 |
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author | Xenophon, Aleksis Hill, David |
author_facet | Xenophon, Aleksis Hill, David |
author_sort | Xenophon, Aleksis |
collection | PubMed |
description | Rising electricity prices, concerns regarding system security, and emissions reduction are central to an energy policy debate under way in Australia. To better evaluate mechanisms that seek to address the nexus of engineering, economic, and environmental challenges facing the country’s electricity system, we have constructed network and generator datasets describing the operation of Australia’s largest transmission network. These data have been collated using open-source software, and are available under an open license. They include the geospatial locations of network elements, and have been designed to interface with a public database maintained by the Australian Energy Market Operator. This interface allows historic data, such as generator dispatch and regional load signals, to be integrated with market models. Interactive network maps, independent datasets, and power-flow models have been used to assess the completeness and functionality of the derived datasets. In the context of Australia, these data can be used to examine geospatial and temporal impacts of power injections from renewables. More generally, they allow market models to be benchmarked against realised outcomes. |
format | Online Article Text |
id | pubmed-6206589 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-62065892018-11-06 Open grid model of Australia’s National Electricity Market allowing backtesting against historic data Xenophon, Aleksis Hill, David Sci Data Data Descriptor Rising electricity prices, concerns regarding system security, and emissions reduction are central to an energy policy debate under way in Australia. To better evaluate mechanisms that seek to address the nexus of engineering, economic, and environmental challenges facing the country’s electricity system, we have constructed network and generator datasets describing the operation of Australia’s largest transmission network. These data have been collated using open-source software, and are available under an open license. They include the geospatial locations of network elements, and have been designed to interface with a public database maintained by the Australian Energy Market Operator. This interface allows historic data, such as generator dispatch and regional load signals, to be integrated with market models. Interactive network maps, independent datasets, and power-flow models have been used to assess the completeness and functionality of the derived datasets. In the context of Australia, these data can be used to examine geospatial and temporal impacts of power injections from renewables. More generally, they allow market models to be benchmarked against realised outcomes. Nature Publishing Group 2018-10-23 /pmc/articles/PMC6206589/ /pubmed/30351307 http://dx.doi.org/10.1038/sdata.2018.203 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Xenophon, Aleksis Hill, David Open grid model of Australia’s National Electricity Market allowing backtesting against historic data |
title | Open grid model of Australia’s National Electricity Market allowing backtesting against historic data |
title_full | Open grid model of Australia’s National Electricity Market allowing backtesting against historic data |
title_fullStr | Open grid model of Australia’s National Electricity Market allowing backtesting against historic data |
title_full_unstemmed | Open grid model of Australia’s National Electricity Market allowing backtesting against historic data |
title_short | Open grid model of Australia’s National Electricity Market allowing backtesting against historic data |
title_sort | open grid model of australia’s national electricity market allowing backtesting against historic data |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6206589/ https://www.ncbi.nlm.nih.gov/pubmed/30351307 http://dx.doi.org/10.1038/sdata.2018.203 |
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