Print Email Facebook Twitter Dynamic, self-organized clusters as a means to supply and demand matching in large-scale energy systems Title Dynamic, self-organized clusters as a means to supply and demand matching in large-scale energy systems Author Čaušević, Selma Warnier, Martijn (TU Delft System Engineering) Brazier, F.M. (TU Delft System Engineering) Date 2017 Abstract Centralized management of power systems is becoming more challenging due to the increased introduction of distributed renewable energy resources, along with demand increase and aging infrastructures. To address these challenges, this paper proposes new mechanisms for decentralized energy management. Based on self-organization of consumers, prosumers and producers into virtual groups, called clusters, supply and demand of electricity is locally matched. Distributed multi-agent systems are used as a way to represent virtual cluster members. The mechanisms are illustrated, and static and dynamic virtual clusters are compared. Dynamic reconfiguration is achieved by varying the time periods for which clustering is performed. The proposed clustering mechanisms demonstrate that large-scale centralized energy systems can operate in a decentralized fashion when only local information is available. To reference this document use: http://resolver.tudelft.nl/uuid:ec3f34e1-a0f4-4410-8a99-1a46560c83ad DOI https://doi.org/10.1109/ICNSC.2017.8000154 Publisher Institute of Electrical and Electronics Engineers (IEEE) ISBN 9781509044283 Source Proceedings of the 2017 IEEE 14th International Conference on Networking, Sensing and Control, ICNSC 2017 Event 14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017, 2017-05-16 → 2017-05-18, Calabria, Italy Part of collection Institutional Repository Document type conference paper Rights © 2017 Selma Čaušević, Martijn Warnier, F.M. Brazier Files PDF ICNSC2017_Causevic_etal.pdf 647.89 KB Close viewer /islandora/object/uuid:ec3f34e1-a0f4-4410-8a99-1a46560c83ad/datastream/OBJ/view