DocumentCode :
2049479
Title :
Autonomous demand response for frequency regulation on a large-scale model of an interconnected grid
Author :
Mattix, S.R. ; Donnelly, M.K. ; Trudnowski, D.J. ; Dagle, J.E.
Author_Institution :
Dept. of Electr. Eng., Montana Tech of the Univ. of Montana, Butte, MT, USA
fYear :
2012
fDate :
22-26 July 2012
Firstpage :
1
Lastpage :
8
Abstract :
This research examines the use of autonomous demand response to provide primary frequency control in an interconnected grid. The work builds on previous studies in several key areas: it uses a large realistic model; it establishes a set of metrics which can be used to assess the effectiveness of autonomous demand response; and it independently adjusts various parameters associated with using autonomous demand response to assess effectiveness and to examine possible threats or vulnerabilities associated with the technology. More than 6,000 simulations of the power system model were conducted during the course of the study. The studies demonstrated that very few conditions associated with autonomous demand response have the potential to degrade reliability, and that the marginal benefit attributable to autonomous demand response is quantifiable and can be used to determine the value of the technology, as compared to traditional means, for providing primary frequency control.
Keywords :
frequency control; power grids; power system control; power system interconnection; power system reliability; power system simulation; autonomous demand response; frequency regulation; large-scale interconnected grid model; marginal benefit attribution; parameter adjustment; power system model simulation; primary frequency control; reliability; Delay; Frequency control; Frequency response; Load management; Load modeling; Water heating; Power system control; load management; power system dynamics; power system planning; smart grids;
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.2012.6344958
Filename :
6344958
Link To Document :
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