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An optimization-based demand response in radial distribution networks

Li, Na and Gan, Lingwen and Chen, Lijun and Low, Steven H. (2012) An optimization-based demand response in radial distribution networks. In: 2012 IEEE Globecom Workshops. IEEE , Piscataway, NJ, pp. 1474-1479. ISBN 978-1-4673-4941-3.

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Demand response has recently become a topic of active research. Most of work however considers only the balance between aggregate load and supply, and abstracts away the underlying power network and the associated power flow constraints and operating constraints. In this paper, we study demand response in a radial distribution network, by formulating it as an optimal power flow problem that maximizes the aggregate user utilities and minimizes the power line losses, subject to the power flow constraints and operating constraints. As the resulting problem is non-convex and difficult to solve, we propose a convex relaxation that is usually exact for the real-world distribution circuits. We then propose a distributed algorithm for the load-serving entity to set the price signal to coordinate the users' demand response so as to achieve the optimum. Numerical examples show that the proposed algorithm converges fast for real-world distribution systems.

Item Type:Book Section
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Low, Steven H.0000-0001-6476-3048
Additional Information:© 2012 IEEE. This work is supported by NSF NetSE grant CNS 0911041, ARPA-E grant DE-AR0000226, Southern California Edison, National Science Council of Taiwan, R.O.C. grant, NSC 101-3113-P-008-001, the Caltech Resnick Institute, and the Okawa Foundation.
Group:Resnick Sustainability Institute
Funding AgencyGrant Number
Southern California EdisonUNSPECIFIED
National Science Council (Taipei)NSC 101-3113-P-008-001
Resnick Sustainability InstituteUNSPECIFIED
Okawa FoundationUNSPECIFIED
Record Number:CaltechAUTHORS:20130730-133244823
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Official Citation:Na Li; Lingwen Gan; Lijun Chen; Low, S.H., "An optimization-based demand response in radial distribution networks," Globecom Workshops (GC Wkshps), 2012 IEEE , vol., no., pp.1474,1479, 3-7 Dec. 2012 doi: 10.1109/GLOCOMW.2012.6477803
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:39659
Deposited By: Ruth Sustaita
Deposited On:30 Jul 2013 21:05
Last Modified:09 Nov 2021 23:46

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