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Agent-based distributed consensus algorithm for decentralized economic dispatch in Smart Grid
Department of Electrical and Computer Engineering, University of Auckland.ORCID-id: 0000-0002-7419-8289
Dept. of Electr. & Comput. Eng., Univ. of Auckland.ORCID-id: 0000-0002-9315-9920
Department of Electrical and Computer Engineering, North Carolina State University, Raleigh.
Department of Electrical and Computer Engineering, North Carolina State University, Raleigh.
Antal upphovsmän: 42013 (Engelska)Ingår i: IECON 2013: 39th Annual Conference of the IEEE Industrial Electronics Society, Piscataway, NJ: IEEE Communications Society, 2013, s. 1968-1973Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

The agent based solutions are successfully applied in research and have impressive results. However, at the present, the agent technology is the realm of theory and laboratory simulation. The paper presents an attempt to bridge the gap. To facilitate migration of agent technology to the field, we propose to apply industrial standards such as IEC 61499 to design and implement the agent based algorithms. IEC 61499 is reference architecture for development of distributed systems. As an example of agent based solution to power system problem we consider Incremental Cost Consensus (ICC) algorithm for solving economic dispatch problem. The original system was simulated in Matlab. The agent based 5 node system was developed using IEC 61499 and deployed to 5 industrial controllers, then tested. With the proposed approach the agent algorithms can be designed, tested and deployed within one framework without the overhead of re-coding the solution for different stages. The proposed approach enables directly executable agent solutions and paves the way to the industrial adoption of the agent technology in power system domain.

Ort, förlag, år, upplaga, sidor
Piscataway, NJ: IEEE Communications Society, 2013. s. 1968-1973
Serie
I E E E Industrial Electronics Society. Annual Conference. Proceedings, ISSN 1553-572X
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Kommunikations- och beräkningssystem
Identifikatorer
URN: urn:nbn:se:ltu:diva-38406DOI: 10.1109/IECON.2013.6699433Lokalt ID: ccae7f8d-e7d3-443e-a61b-bbb95473cd0bISBN: 978-1-4799-0224-8 (tryckt)OAI: oai:DiVA.org:ltu-38406DiVA, id: diva2:1011907
Konferens
Annual Conference of the IEEE Industrial Electronics Society : 10/11/2013 - 13/11/2013
Tillgänglig från: 2016-10-03 Skapad: 2016-10-03 Senast uppdaterad: 2018-01-14Bibliografiskt granskad

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Zhabelova, GulnaraVyatkin, Valeriy

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