Distributed Transactive Framework for Congestion Management of Multiple-Microgrid Distribution Systems

Journal Article (2022)
Author(s)

Sajjad Fattaheian-Dehkordi (Aalto University, Sharif University of Technology)

Ali Rajaei (TU Delft - Intelligent Electrical Power Grids, Sharif University of Technology)

Ali Abbaspour (Sharif University of Technology)

Mahmud Fotuhi-Firuzabad (Aalto University, Sharif University of Technology)

Matti Lehtonen (Aalto University)

Research Group
Intelligent Electrical Power Grids
Copyright
© 2022 Sajjad Fattaheian-Dehkordi, A. Rajaei, Ali Abbaspour, Mahmud Fotuhi-Firuzabad, Matti Lehtonen
DOI related publication
https://doi.org/10.1109/TSG.2021.3135139
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Sajjad Fattaheian-Dehkordi, A. Rajaei, Ali Abbaspour, Mahmud Fotuhi-Firuzabad, Matti Lehtonen
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
Issue number
2
Volume number
13
Pages (from-to)
1335-1346
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Abstract

The privatization of distribution systems has resulted in the development of multiple-microgrid (multiple-MG) systems where each microgrid independently operates its local resources. Moreover, the high integration of independent distributed energy sources could lead to operational issues such as grid congestion in future distribution systems. Therefore, this paper provides a transactive-based energy management framework to operate multiple-MG distribution systems; while, alleviating grid congestion in a decentralized manner. In this respect, alternating direction method of multipliers (ADMM) is considered to develop an operational framework that copes with distributed nature of multiple-MG systems. In this context, a novel procedure in the context of ADMM is proposed to distributedly determine transactive coordinator signals which address energy prices as well as power losses and grid congestions. Furthermore, each MG takes into account stochastic programming and the conditional value-at-risk index to handle the uncertainty of its operational scheduling. At last, the proposed framework is applied on IEEE 37-bus and 123-bus test grids to investigate its efficacy in distributed energy management of multiple-MG systems.

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