DocumentCode
3504837
Title
Integration of demand response and renewable resources for power generation management
Author
Ghosh, Sudip ; Kalagnanam, Jayant ; Katz, Dov ; Squillante, M. ; Xiaoxuan Zhang
Author_Institution
Res. Div., Thomas J. Watson Res. Center, IBM, Yorktown Heights, NY, USA
fYear
2011
fDate
17-19 Jan. 2011
Abstract
A single-period optimal dispatching problem is considered for a network of energy utilities connected via multiple transmission lines, where we seek to find the lowest operationalcost dispatching of various energy sources to satisfy demand. Our model includes traditional thermal resources and renewable energy resources available generation capabilities within the grid. A key novel addition is the consideration of demand reduction as a virtual generation source that can be dispatched quickly to hedge against the risk of unforeseen shortfall in supply. Demand reduction is dispatched in response to incentive signals sent to consumers. The control options of our optimization model consist of the dispatching order and dispatching amount of the thermal generators together with the rebate signals sent to end-users at each node of the network under a simple demand response policy. Numerical experiments based on our analysis of representative data are presented to illustrate the effectiveness of demand response as a hedging option.
Keywords
demand side management; power generation dispatch; power generation economics; renewable energy sources; demand response; energy sources; energy utilities; multiple transmission lines; operational cost; optimal dispatching problem; optimization model; power generation management; renewable energy resources; renewable resources; thermal generators; traditional thermal resources; Dispatching; Generators; Load management; Load modeling; Numerical models; Wind; Wind power generation;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Smart Grid Technologies (ISGT), 2011 IEEE PES
Conference_Location
Anaheim, CA
Print_ISBN
978-1-61284-218-9
Electronic_ISBN
978-1-61284-218-9
Type
conf
DOI
10.1109/ISGT.2011.6165483
Filename
6165483
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