Efficient methods for approximating the shapley value for asset sharing in energy communities

Sho Cremers, Valentin Robu, Daan Hofman, Titus Naber, Kawin Zheng, Sonam Norbu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Downloads (Pure)

Abstract

With the emergence of energy communities, where a number of prosumers invest in shared renewable generation capacity and battery storage, the issue of fair allocation of benefits and costs has become increasingly important. The Shapley value has attracted increasing interest for redistribution in energy settings-however, computing it exactly is intractable beyond a few dozen prosumers. In this paper, we examine a number of methods for approximating the Shapley value in realistic community energy settings, and propose a new one. To compare the performances of these methods, we also design a novel method to compute the Shapley value exactly, for communities of up to several hundred agents by clustering consumers into a smaller number of demand profiles. We compare the methods in a large-scale case study of a community of up to 200 household consumers in the UK, and show that our method can achieve very close redistribution to the exact Shapley values but at a much lower (and practically feasible) computation cost.

Original languageEnglish
Title of host publicatione-Energy '22: Proceedings of the Thirteenth ACM International Conference on Future Energy Systems
PublisherAssociation for Computing Machinery
Pages320-324
Number of pages5
ISBN (Electronic)9781450393973
DOIs
Publication statusPublished - 28 Jun 2022
Event13th ACM International Conference on Future Energy Systems 2022 - Virtual, Online, United States
Duration: 28 Jun 20221 Jul 2022

Conference

Conference13th ACM International Conference on Future Energy Systems 2022
Abbreviated titlee-Energy 2022
Country/TerritoryUnited States
CityVirtual, Online
Period28/06/221/07/22

Keywords

  • APproximation
  • Energy community
  • Shapley value
  • Shared assets
  • Stratification

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Fuel Technology

Fingerprint

Dive into the research topics of 'Efficient methods for approximating the shapley value for asset sharing in energy communities'. Together they form a unique fingerprint.

Cite this