DocumentCode
54622
Title
Efficiency-Risk Tradeoffs in Electricity Markets with Dynamic Demand Response
Author
Qingqing Huang ; Roozbehani, Mardavij ; Dahleh, Munther A.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Massachusetts Inst. of Technol., Cambridge, MA, USA
Volume
6
Issue
1
fYear
2015
fDate
Jan. 2015
Firstpage
279
Lastpage
290
Abstract
In order to study the impact of dynamic demand response in the future smart grid, we examine in an abstract framework how a tradeoff between efficiency and risk arises under different market architectures. We first examine the system performance under noncooperative and cooperative market architectures. The statistics of the stationary aggregate demand processes show that, although the noncooperative load scheduling scheme leads to an efficiency loss, the stationary distribution of the corresponding aggregate demand process has a smaller tail, resulting in less frequent aggregate demand spikes. Cooperative dynamic demand response, on the other hand, makes the market place more efficient at the cost of increased risk of aggregate demand spikes. The market architecture determines the locus of the system performance with respect to the tradeoff curve. We also investigate how a properly designed real-time electricity pricing mechanism can help the system operator achieve a target tradeoff between efficiency and risk in a noncooperative market. We further provide a convex characterization of the Pareto front of system performance measures, which serves as a benchmark of the tradeoffs for the system operator to evaluate the pricing rules.
Keywords
Pareto optimisation; convex programming; demand side management; dynamic response; power markets; pricing; smart power grids; statistical distributions; Pareto convex characterization; aggregate demand process stationary distribution; aggregate demand spike; cooperative dynamic demand response; cooperative market architecture; dynamic demand response; efficiency loss; efficiency-risk tradeoff; electricity market; electricity pricing mechanism; future smart grid; noncooperative load scheduling scheme; noncooperative market architecture; stationary aggregate demand process statistics; tradeoff curve; Aggregates; Electricity; Electricity supply industry; Load management; Load modeling; Pricing; Real-time systems; Power demand; power industry; smart grids; supply and demand;
fLanguage
English
Journal_Title
Smart Grid, IEEE Transactions on
Publisher
ieee
ISSN
1949-3053
Type
jour
DOI
10.1109/TSG.2014.2326614
Filename
6965601
Link To Document