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Coalitional Game Theory based Value Sharing in Energy Communities

Year of publication

2021

Authors

Safdarian, Amir; Astero, Poria; Baranauskas, Marius; Keski-Koukkari, Antti; Kulmala, Anna

Abstract

<p>This paper presents a coalitional game for value sharing in energy communities (ECs). It is proved that the game is super-additive, and the grand coalition effectively increases the global payoff. It is also proved that the model is balanced and thus, it has a nonempty core. This means there always exists at least one value sharing mechanism that makes the grand coalition stable. Therefore, prosumers will always achieve lower bills if they join to form larger ECs. A counterexample is presented to demonstrate that the game is not convex and value sharing based on Shapley values does not necessarily ensure the stability of the coalition. To find a stabilizing value sharing mechanism that belongs to the core of the game, the worst-case excess minimization concept is applied. In this concept, however, size of the optimization problem increases exponentially with respect to the number of members in EC. To make the problem computationally tractable, the idea of clustering members based on their generation/load profiles and considering the same profile and share for members in the same cluster is proposed here. K-means algorithm is used for clustering prosumers&amp;#x2019; profiles. This way, the problem would have several redundant constraints that can be removed. The redundant constraints are identified and removed via the generalized Llewellyn&amp;#x2019;s rules. Finally, value sharing in an apartment building in the southern part of Finland in the metropolitan area is studied to demonstrate effectiveness of the method.</p>
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Organizations and authors

VTT Technical Research Centre of Finland Ltd

Safdarian Amir

Kulmala Anna

Keski-Koukkari Antti Orcid -palvelun logo

Baranauskas Marius

Astero Poria Orcid -palvelun logo

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal/Series

IEEE Access

Volume

9

Article number

9435374

Pages

78266-78275

​Publication forum

78297

​Publication forum level

2

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Fully open publication channel

License of the publisher’s version

CC BY

Self-archived

No

Other information

Fields of science

Computer and information sciences; Electronic, automation and communications engineering, electronics

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Language

English

International co-publication

No

Co-publication with a company

No

DOI

10.1109/ACCESS.2021.3081871

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes