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Towards a task allocation algorithm for frequency containment reserves
School of Electrical Engineering, Department of Electrical Engineering and Automation, Aalto University.
School of Electrical Engineering, Department of Electrical Engineering and Automation, Aalto University.
Department of Electrical Engineering and Automation, Aalto University.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science. Department of Electrical Engineering and Automation, Aalto University.ORCID iD: 0000-0002-9315-9920
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2017 (English)In: Proceedings: 2017 IEEE 15th International Conference on Industrial Informatics, INDIN 2017, Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 765-768, article id 8104868Conference paper, Published paper (Refereed)
Abstract [en]

The negative effects of variable renewable generation in the power systems requires the engagement of the demand-side. In fact, consumers-owned energy resources can be engaged to provide the flexibility to the power grid, thus increasing its reliability. This study presents an algorithm for allocating tasks to distributed consumer owned energy resources, to enable consumers to participate in the automated demand response for frequency control by providing reserves for the frequency containment reserves market. The task allocation algorithm is specified as a set of procedures enabling the coordination of energy resources. In addition, a prototype implementation of the automated demand response system is utilized to evaluate the performance of the task allocation algorithm through simulations. The simulation results shows that the designed algorithm achieves the specified objectives, and fulfills the requirements specified by the transmission system operator for the participation in the provision of frequency containment reserves

Place, publisher, year, edition, pages
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 765-768, article id 8104868
Series
IEEE International Conference on Industrial Informatics INDIN, ISSN 1935-4576
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-67624DOI: 10.1109/INDIN.2017.8104868ISI: 000427453200115Scopus ID: 2-s2.0-85041175355ISBN: 978-1-5386-0837-1 (electronic)OAI: oai:DiVA.org:ltu-67624DiVA, id: diva2:1182430
Conference
15th IEEE International Conference on Industrial Informatics, INDIN 2017, University of Applied Science Emden/LeerEmden, Germany, 24-26 July 2017
Available from: 2018-02-13 Created: 2018-02-13 Last updated: 2018-04-12Bibliographically approved

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Vyatkin, Valeriy

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  • apa
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