Demand-side response smart grid technique for optimized energy use

Kamel, Fouad and Marwan, Marwan (2012) Demand-side response smart grid technique for optimized energy use. In: Innovation in power, control and optimization: emerging energy technologies. IGI Publishing (IGI Global), Hershey, PA, United States, pp. 137-163. ISBN 978-1-61350-138-2

Abstract

The chapter describes a dynamic smart grid concept which enables electricity end-users to be acting on controlling, shifting or curtailing own demand to avoid peak-demand conditions according to information received about electricity market conditions over the internet. Computer-controlled switches are used to give users the ability to control and curtail demand on user's premises as necessary following a preset user's preferences. The computerized switching provides the ability to accommodate local renewable energy sources as available. The concept offers further the ability to integrate charging electrical vehicles during off-peak periods, helping thus substantially improving the utilization of the whole electricity system. The approach is pursuing improved use of electrical energy associated with improved energy management, reduced electricity prices and reduced pollution caused by excessive use of combustion engine in transport. The technique is inherently restricted to take effect in frame of energy tariff regimes based on real-time price made to encourage and reward conscious users being proactively participating in holistic energy management strategies.


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Item Type: Book Chapter (Commonwealth Reporting Category B)
Refereed: Yes
Item Status: Live Archive
Additional Information: Chapter 4
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 26 Jun 2013 01:57
Last Modified: 29 Aug 2016 03:24
Uncontrolled Keywords: smart grid; electricity market; electricity generation; energy management; demand-side response
Fields of Research : 08 Information and Computing Sciences > 0806 Information Systems > 080602 Computer-Human Interaction
17 Psychology and Cognitive Sciences > 1702 Cognitive Sciences > 170202 Decision Making
09 Engineering > 0906 Electrical and Electronic Engineering > 090607 Power and Energy Systems Engineering (excl. Renewable Power)
Socio-Economic Objective: B Economic Development > 85 Energy > 8506 Energy Storage, Distribution and Supply > 850601 Energy Services and Utilities
Identification Number or DOI: 10.4018/978-1-61350-138-2
URI: http://eprints.usq.edu.au/id/eprint/18765

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