Towards a task allocation algorithm for frequency containment reservesVisa övriga samt affilieringar
2017 (Engelska)Ingår i: Proceedings: 2017 IEEE 15th International Conference on Industrial Informatics, INDIN 2017, Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017, s. 765-768, artikel-id 8104868Konferensbidrag, Publicerat paper (Refereegranskat)
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.
Ort, förlag, år, upplaga, sidor
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017. s. 765-768, artikel-id 8104868
Serie
IEEE International Conference on Industrial Informatics INDIN, ISSN 1935-4576
Nyckelord [en]
smart grid, automated demand response, frequency control, frequency containment reserve, task allocation
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Kommunikations- och beräkningssystem
Identifikatorer
URN: urn:nbn:se:ltu:diva-67624DOI: 10.1109/INDIN.2017.8104868ISI: 000427453200115Scopus ID: 2-s2.0-85041175355ISBN: 978-1-5386-0837-1 (digital)OAI: oai:DiVA.org:ltu-67624DiVA, id: diva2:1182430
Konferens
15th IEEE International Conference on Industrial Informatics, INDIN 2017, University of Applied Science Emden/LeerEmden, Germany, 24-26 July 2017
2018-02-132018-02-132023-10-14Bibliografiskt granskad