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Distributed Energy Resource Coordination Over Time-Varying Directed Communication Networks
Univ North Texas, Dept Elect Engn, Denton, TX 76203 USA..
Pacific Northwest Natl Lab, Richland, WA 99352 USA..ORCID iD: 0000-0001-6955-4333
Univ Kansas, Dept Mech Engn, Lawrence, KS 66045 USA..
Univ Calif Riverside, Dept Elect Engn, Riverside, CA 92521 USA..
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2019 (English)In: IEEE Transactions on Big Data, ISSN 2325-5870, E-ISSN 2168-6750, Vol. 6, no 3, p. 1124-1134Article in journal (Refereed) Published
Abstract [en]

In this paper, we consider the optimal coordination problem for distributed energy resources (DERs), including distributed generators and energy storages. We first propose an algorithm based on the push-sum and gradient method to solve the optimal DER coordination problem in a distributed manner. In the proposed algorithm, each DER only maintains a set of variables and updates them through information exchange with a few neighboring DERs over a time-varying directed communication network. We show that the proposed distributed algorithm with appropriately chosen diminishing step sizes solves the optimal DER coordination problem if the time-varying directed communication network is uniformly jointly strongly connected. Moreover, in order to improve the convergence speed and to reduce the communication burden, we propose an accelerated distributed algorithm with a fixed step size. We show that the new proposed algorithm exponentially solves the optimal DER coordination problem if the cost functions satisfy an additional assumption and the selected step size is less than a certain critical value. Both proposed distributed algorithms are validated and evaluated using the IEEE 39-bus system.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2019. Vol. 6, no 3, p. 1124-1134
Keywords [en]
Distributed coordination, energy storage (ES), multiagent systems, multistep optimization, push-sum and gradient method, smart grid
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-261978DOI: 10.1109/TCNS.2019.2921284ISI: 000487200900019Scopus ID: 2-s2.0-85077379866OAI: oai:DiVA.org:kth-261978DiVA, id: diva2:1360589
Note

QC 20191014

Available from: 2019-10-14 Created: 2019-10-14 Last updated: 2020-02-04Bibliographically approved

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Johansson, Karl H.

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