Demand side response to mitigate electrical peak demand in eastern and southern Australia

Paper


Marwan, M. and Kamel, F.. 2011. "Demand side response to mitigate electrical peak demand in eastern and southern Australia ." Huang, Qi and Kang, Jason Z. (ed.) ICSGCE 2011: IEEE 1st International Conference on Smart Grid and Clean Energy Technologies. Chengdu, China 27 - 30 Sep 2011 Amsterdam, Netherlands . https://doi.org/10.1016/j.egypro.2011.10.019
Paper/Presentation Title

Demand side response to mitigate electrical peak demand in eastern and southern Australia

Presentation TypePaper
AuthorsMarwan, M. (Author) and Kamel, F. (Author)
EditorsHuang, Qi and Kang, Jason Z.
Journal or Proceedings TitleEnergy Procedia
Journal Citation12, pp. 133-142
Number of Pages10
Year2011
PublisherElsevier
Place of PublicationAmsterdam, Netherlands
ISSN1876-6102
Digital Object Identifier (DOI)https://doi.org/10.1016/j.egypro.2011.10.019
Web Address (URL) of Paperhttp://www.sciencedirect.com/science/article/pii/S1876610211018455
Conference/EventICSGCE 2011: IEEE 1st International Conference on Smart Grid and Clean Energy Technologies
Event Details
ICSGCE 2011: IEEE 1st International Conference on Smart Grid and Clean Energy Technologies
Event Date
27 to end of 30 Sep 2011
Event Location
Chengdu, China
Abstract

The aim of this work is to develop a Demand-Side-Response (DSR) model, which assists electricity end-users to be engaged in mitigating peak demands on the electricity network in Eastern and Southern Australia. The proposed innovative model will comprise a technical set-up of a programmable internet relay, a router, solid state switches in addition to the suitable software to control electricity demand at user's premises. The software on appropriate multimedia tool (CD Rom) will be curtailing/shifting electric loads to the most appropriate time of the day following the implemented economic model, which is designed to be maximizing financial benefits to electricity consumers. Additionally the model is targeting a national electrical load be spread-out evenly throughout the year in order to satisfy best economic performance for electricity generation, transmission and distribution. The model is applicable in region managed by the Australian Energy Management Operator (AEMO) covering states of Eastern-, Southern-Australia and Tasmania.

Keywordsdemand side response; electrical energy consumption; electricity network; mitigate peak demand
ANZSRC Field of Research 2020380105. Environment and resource economics
400805. Electrical energy transmission, networks and systems
520599. Social and personality psychology not elsewhere classified
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Byline AffiliationsQueensland University of Technology
Faculty of Engineering and Surveying
Institution of OriginUniversity of Southern Queensland
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