A Novel Aggregation Framework for the Efficient Integration of Distributed Energy Resources in the Smart Grid

Journal Article (2023)
Author(s)

Stavros Orfanoudakis (TU Delft - Intelligent Electrical Power Grids)

Georgios Chalkiadakis (Technical University of Crete)

Research Group
Intelligent Electrical Power Grids
Copyright
© 2023 Stavros Orfanoudakis, Georgios Chalkiadakis
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Publication Year
2023
Language
English
Copyright
© 2023 Stavros Orfanoudakis, Georgios Chalkiadakis
Research Group
Intelligent Electrical Power Grids
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Volume number
2023-May
Pages (from-to)
2514-2516
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Abstract

In this paper, we put forward a novel DER aggregation framework, encompassing a multiagent architecture and various types of mechanisms for the effective management and efficient integration of DERs in the Grid. One critical component of our architecture is the Local Flexibility Estimators (LFEs) agents, which are key for offloading the Aggregator from serious or resource-intensive responsibilities-such as addressing privacy concerns and predicting the accuracy of DER statements regarding their offered demand response services. The proposed aggregation framework allows the formation of efficient LFE cooperatives. Our experiments verify its effectiveness for incorporating heterogeneous DERs into the Grid in an efficient manner-showing that the use of appropriate mechanisms results in higher payments for participating LFEs.

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