DocumentCode :
2067734
Title :
Electric water heater modeling and control strategies for demand response
Author :
Ruisheng Diao ; Shuai Lu ; Elizondo, M. ; Mayhorn, E. ; Yu Zhang ; Samaan, N.
Author_Institution :
Pacific Northwest Nat. Lab., Richland, WA, USA
fYear :
2012
fDate :
22-26 July 2012
Firstpage :
1
Lastpage :
8
Abstract :
Demand response (DR) has a great potential to provide balancing services at normal operating conditions and emergency support when a power system is subject to large disturbances. Effective DR control strategies can help relieve balancing and frequency response burdens on conventional generators in addition to reducing generation and transmission investments needed to meet peak demands. This paper discusses modeling residential electric water heaters (EWH) in households and tests their responses with various control strategies implementing DR. The open-loop response of EWH to a centralized control signal is studied by adjusting temperature settings to provide balancing services; and two types of decentralized controllers are tested to provide frequency support following generator trips. EWH models are included in a simulation platform capable of performing electromechanical simulations, which contains 147 households in a distribution feeder. Simulation results show the effectiveness of EWH responses and its dependence on hot water usage. These results provide insight and suggest the need for control strategies to achieve better performance in demand response implementations.
Keywords :
electric generators; frequency response; investment; machine control; power distribution control; space heating; DR control strategies; EWH open-loop response; EWH responses; centralized control signal; decentralized controllers; demand response; distribution feeder; electromechanical simulations; frequency response; generation investment reduction; generator trips; power system; residential electric water heater modeling; temperature settings; transmission investment reduction; Frequency control; Load management; Load modeling; Power demand; Switches; Water heating; Centralized control; decentralized control; demand response; electrical water heater; smart grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
ISSN :
1944-9925
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PESGM.2012.6345632
Filename :
6345632
Link To Document :
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