Aggregating Flexibility of Heterogeneous Energy Resources in Distribution Networks

Tianyi Chen, Na Li, Georgios B Giannakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Distributed energy resources (DERs) in distribution networks have great potential for providing capacity reserves to the transmission systems. In this context, this paper focuses on optimizing the aggregated flexibility of DERs in power distribution networks, involving both network-wide voltage constraints, and individual device operating constraints. The intended task is first formulated as a convex program, and several critical properties of the underlying optimal aggregation solution are then highlighted via rigorous convex analysis. Leveraging the special problem structure, a decentralized solver is further developed to efficiently find the optimal aggregation trajectory with limited communication. Performance tests on the IEEE 37-bus benchmark are conducted to verify the theoretical findings and demonstrate the impact of various network configurations.

Original languageEnglish (US)
Title of host publication2018 Annual American Control Conference, ACC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4604-4609
Number of pages6
ISBN (Print)9781538654286
DOIs
StatePublished - Aug 9 2018
Event2018 Annual American Control Conference, ACC 2018 - Milwauke, United States
Duration: Jun 27 2018Jun 29 2018

Publication series

NameProceedings of the American Control Conference
Volume2018-June
ISSN (Print)0743-1619

Other

Other2018 Annual American Control Conference, ACC 2018
Country/TerritoryUnited States
CityMilwauke
Period6/27/186/29/18

Bibliographical note

Funding Information:
T. Chen and G. B. Giannakis are with the Dept. of Elec. & Comput. Engr. and the Digital Technology Center, University of Minnesota. Emails: chen3827, [email protected]. N. Li is affiliated with John A. Paulson School of Engineering and Applied Sciences at Harvard University. Email: [email protected]. Work in this paper was supported by NSF 1442686, 1509040, 1548204, 1608509, and NSF CAREER 1553407. The work was also supported by Advanced Research Projects Agency-Energy (ARPA-E NODES). The proofs can be found in our online version [1].

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