Dynamic, self-organized clusters as a means to supply and demand matching in large-scale energy systems

Selma Čaušević; Martijn Warnier; Frances M.T. Brazier

doi:10.1109/ICNSC.2017.8000154

Dynamic, self-organized clusters as a means to supply and demand matching in large-scale energy systems

Selma Čaušević, Martijn Warnier, Frances M.T. Brazier

System Engineering

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

9 Citations (Scopus)

111 Downloads (Pure)

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.

Original language	English
Title of host publication	Proceedings of the 2017 IEEE 14th International Conference on Networking, Sensing and Control, ICNSC 2017
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	568-573
Number of pages	6
ISBN (Electronic)	9781509044283
DOIs	https://doi.org/10.1109/ICNSC.2017.8000154
Publication status	Published - 2017
Event	14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017 - Calabria, Italy Duration: 16 May 2017 → 18 May 2017 Conference number: 14

Conference

Conference	14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017
Abbreviated title	ICNSC 2017
Country/Territory	Italy
City	Calabria
Period	16/05/17 → 18/05/17

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ICNSC.2017.8000154

ICNSC2017-Causevic-etalAccepted author manuscript, 551 KB

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Čaušević, S., Warnier, M., & Brazier, F. M. T. (2017). Dynamic, self-organized clusters as a means to supply and demand matching in large-scale energy systems. In Proceedings of the 2017 IEEE 14th International Conference on Networking, Sensing and Control, ICNSC 2017 (pp. 568-573). Article 8000154 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICNSC.2017.8000154

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Čaušević, S, Warnier, M & Brazier, FMT 2017, Dynamic, self-organized clusters as a means to supply and demand matching in large-scale energy systems. in Proceedings of the 2017 IEEE 14th International Conference on Networking, Sensing and Control, ICNSC 2017., 8000154, Institute of Electrical and Electronics Engineers (IEEE), pp. 568-573, 14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017, Calabria, Italy, 16/05/17. https://doi.org/10.1109/ICNSC.2017.8000154

Dynamic, self-organized clusters as a means to supply and demand matching in large-scale energy systems. / Čaušević, Selma; Warnier, Martijn ; Brazier, Frances M.T.
Proceedings of the 2017 IEEE 14th International Conference on Networking, Sensing and Control, ICNSC 2017. Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 568-573 8000154.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AB - 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.

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Dynamic, self-organized clusters as a means to supply and demand matching in large-scale energy systems

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