Distributed Energy Resource Coordination Over Time-Varying Directed Communication Networks

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Fältnamn	Indikatorer	Metadata
000		03440naa a2200433 4500
001		oai:DiVA.org:kth-261978
003		SwePub
008		191014s2019 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-2619782 URI
024	7	a https://doi.org/10.1109/TCNS.2019.29212842 DOI
040		a (SwePub)kth
041		a engb eng
042		9 SwePub
072	7	a ref2 swepub-contenttype
072	7	a art2 swepub-publicationtype
100	1	a Yang, Taou Univ North Texas, Dept Elect Engn, Denton, TX 76203 USA.4 aut
245	1 0	a Distributed Energy Resource Coordination Over Time-Varying Directed Communication Networks
264	1	b IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC,c 2019
338		a print2 rdacarrier
500		a QC 20191014
520		a 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.
650	7	a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronik0 (SwePub)2022 hsv//swe
650	7	a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineering0 (SwePub)2022 hsv//eng
653		a Distributed coordination
653		a energy storage (ES)
653		a multiagent systems
653		a multistep optimization
653		a push-sum and gradient method
653		a smart grid
700	1	a Wu, Diu Pacific Northwest Natl Lab, Richland, WA 99352 USA.4 aut
700	1	a Fang, Huazhenu Univ Kansas, Dept Mech Engn, Lawrence, KS 66045 USA.4 aut
700	1	a Ren, Weiu Univ Calif Riverside, Dept Elect Engn, Riverside, CA 92521 USA.4 aut
700	1	a Wang, Hongu Oak Ridge Natl Lab, Oak Ridge, TN 37932 USA.4 aut
700	1	a Hong, Yiguangu Chinese Acad Sci, Inst Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China.4 aut
700	1	a Johansson, Karl H.,d 1967-u KTH,Reglerteknik,ACCESS Linnaeus Centre4 aut0 (Swepub:kth)u1h0d9k2
710	2	a Univ North Texas, Dept Elect Engn, Denton, TX 76203 USA.b Pacific Northwest Natl Lab, Richland, WA 99352 USA.4 org
773	0	t IEEE Transactions on Control of Network Systemsd : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCg 6:3, s. 1124-1134q 6:3<1124-1134x 2325-5870
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-261978
856	4 8	u https://doi.org/10.1109/TCNS.2019.2921284

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