Optimum demand side response of smart grid with renewable energy source and electrical vehicles
Marwan, Marwan & Kamel, Fouad (2011) Optimum demand side response of smart grid with renewable energy source and electrical vehicles. In AUPEC 2011 : Integrating Renewables into the grid, 25 - 28 September 2011, Queensland University of Technology Brisbane Australia. (In Press)
Abstract
The paper presents a demand side response scheme,which assists electricity consumers to proactively control own demands in such a way to deliberately avert congestion periods on the electrical network. The scheme allows shifting loads from peak to low demand periods in an attempt to flattening the national electricity requirement. The scheme can be concurrently used to accommodate the utilization of renewable energy sources,that might be available at user’s premises. In addition the scheme
allows a full-capacity utilization of the available electrical infrastructure by organizing a wide-use of electric vehicles. The scheme is applicable in the Eastern and Southern States of Australia managed by the Australian Energy Market Operator. The results indicate the potential of the scheme to achieve energy savings and release capacity to accommodate renewable energy and electrical vehicle technologies.
Citations:
Citation countsare sourced monthly from Scopus and Web of Science citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science generally from 1980 onwards.
Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.
Full-text downloads:
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
| ID Code: | 43960 |
|---|---|
| Item Type: | Conference Paper |
| Keywords: | consumer, control, demand, electrical energy, network, potential, response, shifting, vehicles |
| Subjects: | Australian and New Zealand Standard Research Classification > ENVIRONMENTAL SCIENCES (050000) > ENVIRONMENTAL SCIENCE AND MANAGEMENT (050200) |
| Divisions: | Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering Past > Schools > School of Engineering Systems |
| Copyright Owner: | Copyright 2011 please consult authors |
| Deposited On: | 16 Aug 2011 11:28 |
| Last Modified: | 20 Aug 2011 19:12 |
Export: EndNote | Dublin Core | BibTeX
Repository Staff Only: item control page