Modified Worst-Case Excess Minimization for Value Sharing in Energy Communities

Amir Safdarian, Poria Hasanpor Divshali, Marius Baranauskas, Antti Keski-Koukkari, Anna Kulmala

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)


Worst-case excess minimization provides a stabilizing value sharing mechanism for energy communities (ECs). It, however, takes much time to solve the problem especially in larger ECs with tens of prosumers. To alleviate the issue, this paper proposes a modified worst-case excess minimization problem which is faster to solve. In this paper, the problem is formulated for individual time slots, e.g., hour by hour, instead of solving the problem for the whole study horizon. This enables modifying the problem by defining new constraints as well as removing unnecessary variables and constraints. By doing so, the minimization problem can be solved faster without sacrificing the accuracy of the simulation. The proposed method is simulated, and the achieved results are compared with the original worst-case excess minimization problem. Based on the results, the proposed method performed significantly better than the original.

Original languageEnglish
Title of host publicationIEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy, PESGRE 2022
PublisherIEEE Institute of Electrical and Electronic Engineers
Number of pages5
ISBN (Electronic)978-1-66544-837-6
Publication statusPublished - 2022
MoE publication typeA4 Article in a conference publication
Event2022 IEEE International Conference on "Power Electronics, Smart Grid, and Renewable Energy", PESGRE 2022 - Virtual, Trivandrum, India
Duration: 2 Jan 20225 Jan 2022


Conference2022 IEEE International Conference on "Power Electronics, Smart Grid, and Renewable Energy", PESGRE 2022
CityVirtual, Trivandrum


  • energy community
  • minimization
  • optimization
  • payoff allocation
  • prosumer
  • value sharing
  • worst-case excess minimization

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