DocumentCode
55220
Title
Game-Theoretic Frameworks for Demand Response in Electricity Markets
Author
Nekouei, Ehsan ; Alpcan, Tansu ; Chattopadhyay, Deb
Author_Institution
Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia
Volume
6
Issue
2
fYear
2015
fDate
Mar-15
Firstpage
748
Lastpage
758
Abstract
This paper presents game-theoretic frameworks for demand response at both electricity market and consumer levels. First, the interaction between a demand response aggregator (DRA) and electricity generators is modeled as a Stackelberg game in which the DRA, as the leader of the game, makes demand reduction bids, and generators, as followers, compete for maximizing their profits based on the reduced demand. Next, the interaction between the DRA and consumers is modeled as a mechanism design problem wherein the DRA seeks to minimize the aggregate inconvenience of consumers while achieving the targeted load curtailment. The inconvenience function of each consumer is captured by a type value, which is used by the DRA to solve the load curtailment problem. A Vickrey-Clarke-Groves-based mechanism is proposed, which guarantees that each consumer reveals its true type value to the DRA. A case study of the Stackelberg game shows that, in the South Australian electricity market where there is significant renewable penetration, peak period demand response provides the maximum potential profit, but off-peak demand response even in a concentrated market is not financially attractive.
Keywords
demand side management; game theory; power markets; DRA; South Australian electricity market; Stackelberg game; Vickrey-Clarke-Groves-based mechanism; concentrated market; consumer levels; demand reduction bids; demand response aggregator; electricity generators; game-theoretic frameworks; generators; load curtailment problem; maximum potential profit; mechanism design problem; renewable penetration; Electricity; Electricity supply industry; Games; Generators; Load management; Optimization; Production; Demand response; electricity market; game theory;
fLanguage
English
Journal_Title
Smart Grid, IEEE Transactions on
Publisher
ieee
ISSN
1949-3053
Type
jour
DOI
10.1109/TSG.2014.2367494
Filename
6965656
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