期刊
IEEE TRANSACTIONS ON SMART GRID
卷 4, 期 2, 页码 866-876出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2012.2206060
关键词
Demand-side management; distributed energy generation; distributed energy storage; game theory; proximal decomposition algorithm; smart grid
资金
- Spanish Ministry of Economy and Competitiveness [CONSOLIDER CSD2008-00010 COMONSENS, TEC2010-19171 MOSAIC]
- Catalan Government [2009 SGR-01236 AGAUR]
- U.S. National Science Foundation [CNS-1218717]
- Hong Kong RGC [617810]
Demand-side management, together with the integration of distributed energy generation and storage, are considered increasingly essential elements for implementing the smart grid concept and balancing massive energy production from renewable sources. We focus on a smart grid in which the demand-side comprises traditional users as well as users owning some kind of distributed energy sources and/or energy storage devices. By means of a day-ahead optimization process regulated by an independent central unit, the latter users intend to reduce their monetary energy expense by producing or storing energy rather than just purchasing their energy needs from the grid. In this paper, we formulate the resulting grid optimization problem as a noncooperative game and analyze the existence of optimal strategies. Furthermore, we present a distributed algorithm to be run on the users' smart meters, which provides the optimal production and/or storage strategies, while preserving the privacy of the users and minimizing the required signaling with the central unit. Finally, the proposed day-ahead optimization is tested in a realistic situation.
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