Distributed Optimal Coordination for Distributed Energy Resources in Power Systems
Driven by smart grid technologies, distributed energy resources (DERs) have been rapidly developing in recent years for improving reliability and efficiency of distribution systems. Emerging DERs require effective and efficient coordination in order to reap their potential benefits. In this paper, w...
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| Veröffentlicht in: | IEEE transactions on automation science and engineering Jg. 14; H. 2; S. 414 - 424 |
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| Hauptverfasser: | , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
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IEEE
01.04.2017
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| ISSN: | 1545-5955, 1558-3783 |
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| Abstract | Driven by smart grid technologies, distributed energy resources (DERs) have been rapidly developing in recent years for improving reliability and efficiency of distribution systems. Emerging DERs require effective and efficient coordination in order to reap their potential benefits. In this paper, we consider an optimal DER coordination problem over multiple time periods subject to constraints at both system and device levels. Fully distributed algorithms are proposed to dynamically and automatically coordinate distributed generators with multiple/single storages. With the proposed algorithms, the coordination agent at each DER maintains only a set of variables and updates them through information exchange with a few neighbors. We show that the proposed algorithms with properly chosen parameters solve the DER coordination problem as long as the underlying communication network is connected. The simulation results are used to illustrate and validate the proposed method. |
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| AbstractList | Driven by smart grid technologies, distributed energy resources (DERs) have been rapidly developing in recent years for improving reliability and efficiency of distribution systems. Emerging DERs require effective and efficient coordination in order to reap their potential benefits. In this paper, we consider an optimal DER coordination problem over multiple time periods subject to constraints at both system and device levels. Fully distributed algorithms are proposed to dynamically and automatically coordinate distributed generators with multiple/single storages. With the proposed algorithms, the coordination agent at each DER maintains only a set of variables and updates them through information exchange with a few neighbors. We show that the proposed algorithms with properly chosen parameters solve the DER coordination problem as long as the underlying communication network is connected. The simulation results are used to illustrate and validate the proposed method. |
| Author | Stoustrup, Jakob Tao Yang Di Wu Stoorvogel, Anton A. |
| Author_xml | – sequence: 1 surname: Di Wu fullname: Di Wu email: di.wu@pnnl.gov organization: Pacific Northwest Nat. Lab., Richland, WA, USA – sequence: 2 surname: Tao Yang fullname: Tao Yang email: tao.yang@unt.edu organization: Dept. of Electr. Eng., Univ. of North Texas, Denton, TX, USA – sequence: 3 givenname: Anton A. surname: Stoorvogel fullname: Stoorvogel, Anton A. email: a.a.stoorvogel@utwente.nl organization: Dept. of Electr. Eng., Univ. of Twente, Enschede, Netherlands – sequence: 4 givenname: Jakob surname: Stoustrup fullname: Stoustrup, Jakob email: jakob@es.aau.dk organization: Dept. of Electron. Syst., Aalborg Univ., Aalborg, Denmark |
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| SubjectTerms | Algorithm design and analysis Consensus and gradient algorithm Density estimation robust algorithm Distributed algorithms distributed coordination Energy storage energy storage (ES) Generators multiagent systems multistep optimization smart grid Smart grids |
| Title | Distributed Optimal Coordination for Distributed Energy Resources in Power Systems |
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