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A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems
Argonne Natl Lab, Energy Syst Div, Lemont, IL 60439 USA..
Swiss Fed Inst Technol, Automat Control Lab, CH-8006 Zurich, Switzerland..
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-1835-2963
CALTECH, Dept Elect Engn, Pasadena, CA 91125 USA..
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2017 (English)In: IEEE Transactions on Smart Grid, ISSN 1949-3053, E-ISSN 1949-3061, Vol. 8, no 6, p. 2941-2962Article in journal (Refereed) Published
Abstract [en]

Historically, centrally computed algorithms have been the primary means of power system optimization and control. With increasing penetrations of distributed energy resources requiring optimization and control of power systems with many controllable devices, distributed algorithms have been the subject of significant research interest. This paper surveys the literature of distributed algorithms with applications to optimization and control of power systems. In particular, this paper reviews distributed algorithms for offline solution of optimal power flow (OPF) problems as well as online algorithms for real-time solution of OPF, optimal frequency control, optimal voltage control, and optimal wide-area control problems.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. Vol. 8, no 6, p. 2941-2962
Keywords [en]
Distributed optimization, online optimization, electric power systems
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-243567DOI: 10.1109/TSG.2017.2720471ISI: 000413244600042Scopus ID: 2-s2.0-85027979603OAI: oai:DiVA.org:kth-243567DiVA, id: diva2:1286336
Note

QC 20190206

Available from: 2019-02-06 Created: 2019-02-06 Last updated: 2019-02-06Bibliographically approved

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Sandberg, Henrik

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