The effect of ramp constraints on coalitional storage games

Diego Kiedanski, Ariel Orda, Daniel Kofman

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

Abstract

Energy storage systems (ESS) are envisaged as a solution to a vast number of problems in Smart Grids, yet their prices are hindering a massive adoption at residential level. To facilitate such massive deployments, we propose the shared investment in a battery among a group of consumers. We obtain conditions under which such collective purchase is profitable and show that the earnings that can be obtained by a community are directly linked to key properties of the battery, ramp constraints in particular, and individual intraday consumption profiles. This is achieved by modeling the investment problem using cooperative game theory. For an extensive class of relevant games, we provide theoretical results guaranteeing the existence of a non-empty core, i.e., a set of payoffs across consumers that are stable against the formation of sub-coalitions. Empirical validation of the results is carried with real consumption data from Pecan Street and characteristics of typical batteries available on the market.

Original languageEnglish
Title of host publicatione-Energy 2019 - Proceedings of the 10th ACM International Conference on Future Energy Systems
Pages226-238
Number of pages13
ISBN (Electronic)9781450366717
DOIs
StatePublished - 15 Jun 2019
Event10th ACM International Conference on Future Energy Systems, e-Energy 2019 - Phoenix, United States
Duration: 25 Jun 201928 Jun 2019

Publication series

Namee-Energy 2019 - Proceedings of the 10th ACM International Conference on Future Energy Systems

Conference

Conference10th ACM International Conference on Future Energy Systems, e-Energy 2019
Country/TerritoryUnited States
CityPhoenix
Period25/06/1928/06/19

Keywords

  • Cooperative game theory
  • Local energy storage
  • Shared Investment
  • Smart Grid

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Computer Networks and Communications

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