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Real-time deferrable load control: handling the uncertainties of renewable generation

Gan, Lingwen and Wierman, Adam and Topcu, Ufuk and Chen, Niangjun and Low, Steven H. (2013) Real-time deferrable load control: handling the uncertainties of renewable generation. In: e-Energy '13 Proceedings of the fourth international conference on Future energy systems. ACM , New York, NY, pp. 113-124. ISBN 978-1-4503-2052-8. http://resolver.caltech.edu/CaltechAUTHORS:20161025-161438752

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Abstract

Real-time demand response is essential for handling the uncertainties of renewable generation. Traditionally, demand response has been focused on large industrial and commercial loads, however it is expected that a large number of small residential loads such as air conditioners, dish washers, and electric vehicles will also participate in the coming years. The electricity consumption of these smaller loads, which we call deferrable loads, can be shifted over time, and thus be used (in aggregate) to compensate for the random fluctuations in renewable generation. In this paper, we propose a real-time distributed deferrable load control algorithm to reduce the variance of aggregate load (load minus renewable generation) by shifting the power consumption of deferrable loads to periods with high renewable generation. At every time step, the algorithm minimizes the expected variance to go with updated predictions. We prove that suboptimality of the algorithm vanishes as time horizon expands. Further, we evaluate the algorithm via trace-based simulations.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1145/2487166.2487179DOIArticle
http://dl.acm.org/citation.cfm?doid=2487166.2487179PublisherArticle
ORCID:
AuthorORCID
Chen, Niangjun0000-0002-2289-9737
Additional Information:© 2013 ACM. This work was 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, Resnick Institute, Okawa Foundation, NSF CNS 1312390, NSF grant CNS 0846025, and DoE grant DE-EE000289.
Group:Resnick Sustainability Institute
Funders:
Funding AgencyGrant Number
NSF NetSECNS-0911041
ARPA-EDE-AR0000226
Southern California EdisonUNSPECIFIED
National Science Council (Taipei)101-3113-P-008-001
Resnick Sustainability Institute UNSPECIFIED
Okawa FoundationUNSPECIFIED
NSFCNS-1312390
NSFCNS-0846025
Department of Energy (DOE)DE-EE0002890
Subject Keywords:smart grid, deferrable load control, demand response, model predictive control
Classification Code:J.2 [ Physical Science and Engineering ]: Engineering
Record Number:CaltechAUTHORS:20161025-161438752
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20161025-161438752
Official Citation:Lingwen Gan, Adam Wierman, Ufuk Topcu, Niangjun Chen, and Steven H. Low. 2013. Real-time deferrable load control: handling the uncertainties of renewable generation. In Proceedings of the fourth international conference on Future energy systems (e-Energy '13). ACM, New York, NY, USA, 113-124. DOI=http://dx.doi.org/10.1145/2487166.2487179
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:71479
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:25 Oct 2016 23:28
Last Modified:27 Oct 2017 18:25

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