TY - JOUR
T1 - Coalitional Game Theory Based Value Sharing in Energy Communities
AU - Safdarian, Amir
AU - Astero, Poria
AU - Baranauskas, Marius
AU - Keski-Koukkari, Antti
AU - Kulmala, Anna
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2021/5/19
Y1 - 2021/5/19
N2 - 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' 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'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.
AB - 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' 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'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.
KW - Coalitional game theory
KW - energy community
KW - optimization problem
KW - payoff allocation
KW - prosumer
KW - redundant constraint
KW - value sharing
KW - worst-case excess minimization
UR - http://www.scopus.com/inward/record.url?scp=85113242730&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2021.3081871
DO - 10.1109/ACCESS.2021.3081871
M3 - Article
AN - SCOPUS:85113242730
SN - 2169-3536
VL - 9
SP - 78266
EP - 78275
JO - IEEE Access
JF - IEEE Access
ER -