Distributed Real-Time Power Cooperation Algorithm for Residences Based on Local Information in Smart Grid
Publication: Journal of Energy Engineering
Volume 143, Issue 3
Abstract
With smart grid, the power supply will shift from the tree structure with centralized power plants to the structure with various kinds of distributed energy resources based on renewable energy, batteries, and so on. Deregulation of the electricity market will yield a truly competitive market, where anyone can become a power seller or buyer, which will necessitate a real-time multiseller–multibuyer power trading system. However, it is difficult to realize such a system without centralized control, because of the additional trade complexity created by a large number of sellers, including ordinary homes. In this paper, the authors propose a novel distributed power cooperation algorithm that maximizes each home’s welfare based on local information. The proposed algorithm enables each home to calculate the same electricity market price from only local household information, to trade, and to maximize all members’ satisfaction in smart grid by balancing consumption against supply. The authors formulate a distributed optimization problem and logically prove that the authors’ algorithm can obtain the same optimal user welfare as the global optimal approach but within a much shorter time.
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Acknowledgments
This work is partially supported by the Development of Energy Control Gateway with PIAX Platform project by the SCOPE program of the Ministry of Internal Affairs and Communications (MIC) of Japan.
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© 2016 American Society of Civil Engineers.
History
Received: Jul 20, 2015
Accepted: Mar 17, 2016
Published online: Jul 11, 2016
Discussion open until: Dec 11, 2016
Published in print: Jun 1, 2017
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