Demand-side response model to avoid spike of electricity price
The aim of this work is to develop a demand-side-response model, which assists electricity consumers exposed to the market price to independently and proactively manage air-conditioning peak electricity demand. The main contribution of this research is to show how consumers can optimize the energy c...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Elsevier Science Ltd.
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/16304 |
| _version_ | 1848749137982390272 |
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| author | Marwan, M. Ledwich, G. Ghosh, Arindam |
| author_facet | Marwan, M. Ledwich, G. Ghosh, Arindam |
| author_sort | Marwan, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The aim of this work is to develop a demand-side-response model, which assists electricity consumers exposed to the market price to independently and proactively manage air-conditioning peak electricity demand. The main contribution of this research is to show how consumers can optimize the energy cost caused by the air conditioning load considering to several cases e.g. normal price, spike price, and the probability of a price spike case. This model also investigated how air-conditioning applies a precooling method when there is a substantial risk of a price spike. The results indicate the potential of the scheme to achieve financial benefits for consumers and target the best economic performance for electrical generation distribution and transmission. The model was tested with Queensland electricity market data from the Australian Energy Market Operator and Brisbane temperature data from the Bureau of Statistics regarding hot days from 2011 to 2012. |
| first_indexed | 2025-11-14T07:16:10Z |
| format | Journal Article |
| id | curtin-20.500.11937-16304 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:16:10Z |
| publishDate | 2014 |
| publisher | Elsevier Science Ltd. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-163042017-09-13T15:04:07Z Demand-side response model to avoid spike of electricity price Marwan, M. Ledwich, G. Ghosh, Arindam Energy cost Demand-side response Pre-cooling Consumer Price spike The aim of this work is to develop a demand-side-response model, which assists electricity consumers exposed to the market price to independently and proactively manage air-conditioning peak electricity demand. The main contribution of this research is to show how consumers can optimize the energy cost caused by the air conditioning load considering to several cases e.g. normal price, spike price, and the probability of a price spike case. This model also investigated how air-conditioning applies a precooling method when there is a substantial risk of a price spike. The results indicate the potential of the scheme to achieve financial benefits for consumers and target the best economic performance for electrical generation distribution and transmission. The model was tested with Queensland electricity market data from the Australian Energy Market Operator and Brisbane temperature data from the Bureau of Statistics regarding hot days from 2011 to 2012. 2014 Journal Article http://hdl.handle.net/20.500.11937/16304 10.1016/j.jprocont.2014.01.009 Elsevier Science Ltd. restricted |
| spellingShingle | Energy cost Demand-side response Pre-cooling Consumer Price spike Marwan, M. Ledwich, G. Ghosh, Arindam Demand-side response model to avoid spike of electricity price |
| title | Demand-side response model to avoid spike of electricity price |
| title_full | Demand-side response model to avoid spike of electricity price |
| title_fullStr | Demand-side response model to avoid spike of electricity price |
| title_full_unstemmed | Demand-side response model to avoid spike of electricity price |
| title_short | Demand-side response model to avoid spike of electricity price |
| title_sort | demand-side response model to avoid spike of electricity price |
| topic | Energy cost Demand-side response Pre-cooling Consumer Price spike |
| url | http://hdl.handle.net/20.500.11937/16304 |