A distributed multi-agent linear biobjective algorithm for energy flow optimization in microgrids

Robert Brehm*, Søren Top, Stefan Mátéfi-Tempfli

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

A distributed linear bi-objective optimization algorithm for management of energy flow in a microgrid with individual agents is introduced. In contrast to widely used centralized approaches for energy management a distributed multi-agent scheme for optimization of energy flow within a microgrid consisting of local energy resources and storage capacities is presented which is based on the auction algorithm for assignment problems originally introduced by Bertsekas in 1979 [1]. It is shown that the topology of a microgrid can be represented as a bipartite graph and mathematically be described as a classical transportation problem. This allows applying an auction algorithm scheme in a distributed way where each energy supply system node is either a source or a sink and is represented by an individual acting agent. The single-objective approach is extended towards bi-objectivity to build a framework which gives each agent freedom and authority to intelligently influence the global decision making (optimization) with respect to its own individual objectives and therefore a distributed bi-objective optimization for the energy flow in the microgrid with individual agent objectives is achieved. In the introduced framework computational intelligent agents enhance the intelligence of the global decision making based on their individual agents intelligence.

Original languageEnglish
Title of host publicationProceedings of the 3rd IEEE International Renewable and Sustainable Energy Conference
PublisherIEEE Press
Publication date18. Apr 2016
Pages804-809
ISBN (Electronic)978-1-4673-7894-9, 978-1-4673-7893-2
DOIs
Publication statusPublished - 18. Apr 2016
Event3rd International Renewable and Sustainable Energy Conference - Marrakech, Morocco
Duration: 10. Dec 201513. Dec 2015
Conference number: 3

Conference

Conference3rd International Renewable and Sustainable Energy Conference
Number3
CountryMorocco
CityMarrakech
Period10/12/201513/12/2015

Fingerprint

Decision making
Intelligent agents
Energy management
Energy resources
Energy storage
Topology

Cite this

Brehm, R., Top, S., & Mátéfi-Tempfli, S. (2016). A distributed multi-agent linear biobjective algorithm for energy flow optimization in microgrids. In Proceedings of the 3rd IEEE International Renewable and Sustainable Energy Conference (pp. 804-809). IEEE Press. https://doi.org/10.1109/IRSEC.2015.7455072
Brehm, Robert ; Top, Søren ; Mátéfi-Tempfli, Stefan. / A distributed multi-agent linear biobjective algorithm for energy flow optimization in microgrids. Proceedings of the 3rd IEEE International Renewable and Sustainable Energy Conference. IEEE Press, 2016. pp. 804-809
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Brehm, R, Top, S & Mátéfi-Tempfli, S 2016, A distributed multi-agent linear biobjective algorithm for energy flow optimization in microgrids. in Proceedings of the 3rd IEEE International Renewable and Sustainable Energy Conference. IEEE Press, pp. 804-809, 3rd International Renewable and Sustainable Energy Conference, Marrakech, Morocco, 10/12/2015. https://doi.org/10.1109/IRSEC.2015.7455072

A distributed multi-agent linear biobjective algorithm for energy flow optimization in microgrids. / Brehm, Robert; Top, Søren; Mátéfi-Tempfli, Stefan.

Proceedings of the 3rd IEEE International Renewable and Sustainable Energy Conference. IEEE Press, 2016. p. 804-809.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Brehm R, Top S, Mátéfi-Tempfli S. A distributed multi-agent linear biobjective algorithm for energy flow optimization in microgrids. In Proceedings of the 3rd IEEE International Renewable and Sustainable Energy Conference. IEEE Press. 2016. p. 804-809 https://doi.org/10.1109/IRSEC.2015.7455072