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Decentralised coordination of intelligent autonomous batteries
Department of Electrical Engineering and Automation, Aalto University, Espoo.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-9315-9920
2016 (English)In: Technological innovation for cyber-physical systems: 7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016, Costa de Caparica, Portugal, April 11-13, 2016, Proceedings / [ed] Luis M. Camarinha-Matos ; Antonio Falcao; Nazanin Vafaei ; Shirin Nadji, New York: Encyclopedia of Global Archaeology/Springer Verlag, 2016, p. 425-433Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes enabling intelligence for cyber-physical system of intelligent collaborating energy storages. Two intelligent batteries coordinate their behaviour in a dynamic electricity price scenario, accumulating the energy when the electricity price is low, and replacing the grid when the price is high. Both batteries directly exchange their state information with each other without any centralized processing agent, following the coordination algorithm developed in this paper. This simplifies their integration and enables achieving more optimal behaviour with regards to state of their charge. When one battery is depleted, the other one immediately compensates the losses by a higher discharge rate. Such a distributed coordination approach enables plug-and-play formation of system of batteries, demonstrates the efficiency of such formation and allows for reduction of costs due to longer discharge time of the batteries

Place, publisher, year, edition, pages
New York: Encyclopedia of Global Archaeology/Springer Verlag, 2016. p. 425-433
Series
IFIP AICT - Advances in Information and Communication technology, ISSN 1868-4238 ; 470
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-30043DOI: 10.1007/978-3-319-31165-4_40ISI: 000406878200040Local ID: 3b9cbf76-dcf2-4b30-a14c-e9b70fd3c706ISBN: 9783319311647 (print)OAI: oai:DiVA.org:ltu-30043DiVA, id: diva2:1003270
Conference
IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems : 11/04/2016 - 13/04/2016
Note

Godkänd; 2016; 20160418 (andbra)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-01-14Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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