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Optimal placement of energy storage in distribution networks

Tang, Yujie and Low, Steven H. (2016) Optimal placement of energy storage in distribution networks. In: IEEE 55th Conference on Decision and Control (CDC). IEEE , Piscataway, NJ, pp. 3258-3264. ISBN 978-1-5090-1837-6. http://resolver.caltech.edu/CaltechAUTHORS:20170111-145514472

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Abstract

We study the problem of optimally placing energy storage devices in distribution networks to minimize total energy loss, focusing on structural results. We use a continuous linearized branch-flow model to model the distribution network. For the special case of a linear network, modeling a main feeder, we explicitly derive the optimal solution when all loads have the same shape and prove several useful monotonicity properties of the optimal solution. We illustrate through simulations that these structural properties hold approximately also on radial networks modeled by standard discrete nonlinear power flow models and even when loads have different shapes. We discuss how these structural results provide insight for the planning of energy storage devices.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1109/CDC.2016.7798759 DOIArticle
http://ieeexplore.ieee.org/document/7798759/PublisherArticle
Additional Information:© 2016 IEEE. This work was supported by Los Alamos National Lab through an DoE grant DE-AC52-06NA25396, DTRA through grant HDTRA 1-15-1-0003, NSF through CNS grant 1545096, EPCN grant 1619352, and CCF grant 1637598, and Skoltech through collaboration agreement 1075-MRA.
Funders:
Funding AgencyGrant Number
Department of Energy (DOE)DE-AC52-06NA25396
Defense Threat Reduction Agency (DTRA)HDTRA 1-15-1-0003
NSFCNS-1545096
NSFECCS-1619352
NSFCCF-637598
Skoltech1075-MRA
Record Number:CaltechAUTHORS:20170111-145514472
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20170111-145514472
Official Citation:Y. Tang and S. H. Low, "Optimal placement of energy storage in distribution networks," 2016 IEEE 55th Conference on Decision and Control (CDC), Las Vegas, NV, USA, 2016, pp. 3258-3264. doi: 10.1109/CDC.2016.7798759 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7798759&isnumber=7798233
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:73444
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:20 Jan 2017 00:56
Last Modified:20 Jan 2017 00:56

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