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

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

doi:10.1109/PESGRE52268.2022.9715951

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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

Abstract

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 language	English
Title of host publication	IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy, PESGRE 2022
Publisher	IEEE Institute of Electrical and Electronic Engineers
Number of pages	5
ISBN (Electronic)	978-1-66544-837-6
DOIs	https://doi.org/10.1109/PESGRE52268.2022.9715951
Publication status	Published - 2022
MoE publication type	A4 Article in a conference publication
Event	2022 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy, PESGRE 2022 - Virtual, Trivandrum, India Duration: 2 Jan 2022 → 5 Jan 2022

Conference

Conference	2022 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy, PESGRE 2022
Abbreviated title	PESGRE 2022
Country/Territory	India
City	Virtual, Trivandrum
Period	2/01/22 → 5/01/22

Funding

ACKNOWLEDGMENT This work was supported by Academy of Finland under project DisMa (Distributed management of electricity system), funding decision 323696, and by Business Finland under project ProCemPlus (Prosumer Centric Energy Communities - towards Energy Ecosystem), funding decision 8211/31/2018. Helen Sähköverkko Oy is also acknowledged for providing data associated with an apartment building in the southern part of Finland in the metropolitan area.

Keywords

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

Access to Document

10.1109/PESGRE52268.2022.9715951

Cite this

Safdarian, A., Astero, P., Baranauskas, M., Keski-Koukkari, A., & Kulmala, A. (2022). Modified Worst-Case Excess Minimization for Value Sharing in Energy Communities. In IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy, PESGRE 2022 IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/PESGRE52268.2022.9715951

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abstract = "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.",

keywords = "energy community, minimization, optimization, payoff allocation, prosumer, value sharing, worst-case excess minimization",

author = "Amir Safdarian and Poria Astero and Marius Baranauskas and Antti Keski-Koukkari and Anna Kulmala",

note = "Funding Information: ACKNOWLEDGMENT This work was supported by Academy of Finland under project DisMa (Distributed management of electricity system), funding decision 323696, and by Business Finland under project ProCemPlus (Prosumer Centric Energy Communities - towards Energy Ecosystem), funding decision 8211/31/2018. Helen S{\"a}hk{\"o}verkko Oy is also acknowledged for providing data associated with an apartment building in the southern part of Finland in the metropolitan area. ; 2022 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy, PESGRE 2022, PESGRE 2022 ; Conference date: 02-01-2022 Through 05-01-2022",

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Safdarian, A, Astero, P, Baranauskas, M, Keski-Koukkari, A & Kulmala, A 2022, Modified Worst-Case Excess Minimization for Value Sharing in Energy Communities. in IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy, PESGRE 2022. IEEE Institute of Electrical and Electronic Engineers, 2022 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy, PESGRE 2022, Virtual, Trivandrum, India, 2/01/22. https://doi.org/10.1109/PESGRE52268.2022.9715951

Modified Worst-Case Excess Minimization for Value Sharing in Energy Communities. / Safdarian, Amir; Astero, Poria; Baranauskas, Marius et al.
IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy, PESGRE 2022. IEEE Institute of Electrical and Electronic Engineers, 2022.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Kulmala, Anna

N1 - Funding Information: ACKNOWLEDGMENT This work was supported by Academy of Finland under project DisMa (Distributed management of electricity system), funding decision 323696, and by Business Finland under project ProCemPlus (Prosumer Centric Energy Communities - towards Energy Ecosystem), funding decision 8211/31/2018. Helen Sähköverkko Oy is also acknowledged for providing data associated with an apartment building in the southern part of Finland in the metropolitan area.

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N2 - 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.

AB - 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.

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PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 2022 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy, PESGRE 2022

Y2 - 2 January 2022 through 5 January 2022

ER -

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

Abstract

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

DisMa: Distributed management of electricity system

ProCemPlus: Prosumer Centric Energy Communities – towards Energy Ecosystem

Cite this

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

Abstract

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Projects

DisMa: Distributed management of electricity system

ProCemPlus: Prosumer Centric Energy Communities – towards Energy Ecosystem

Cite this