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On Variability of Renewable Energy and Online Power Allocation
KTH, School of Electrical Engineering and Computer Science (EECS), Network and Systems engineering. KTH - Royal Institute of Technology.ORCID iD: 0000-0002-6617-8683
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2018 (English)In: IEEE Transactions on Power Systems, ISSN 0885-8950, E-ISSN 1558-0679, Vol. 33, no 1, p. 451-462Article in journal (Refereed) Published
Abstract [en]

As electric power system operators shift from conventional energy to renewable energy sources, power distribution systems will experience increasing fluctuations in supply. These fluctuations present the need to not only design online decentralized power allocation algorithms, but also characterize how effective they are given fast-changing consumer demand and generation. In this paper, we present an online decentralized dual descent (OD3) power allocation algorithm and determine (in the worst case) how much of observed social welfare can be explained by fluctuations in generation capacity and consumer demand. Convergence properties and performance guarantees of the OD3 algorithm are analyzed by characterizing the difference between the online decision and the optimal decision. We demonstrate validity and accuracy of the theoretical results in the paper through numerical experiments using real power generation data.

Place, publisher, year, edition, pages
IEEE Press, 2018. Vol. 33, no 1, p. 451-462
Keywords [en]
Decentralized power allocation; power systems dynamics; social welfare optimization
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-223649DOI: 10.1109/TPWRS.2017.2709544ISI: 000418776400040Scopus ID: 2-s2.0-85048710913OAI: oai:DiVA.org:kth-223649DiVA, id: diva2:1185968
Note

QC 20180306

Available from: 2018-02-27 Created: 2018-02-27 Last updated: 2018-10-16Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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