Max-min fairness for demand side management under high RES penetration: Dealing with undefined consumer valuation functions

Georgios Tsaousoglou, Pierre Pinson, N. G. Paterakis

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

4 Downloads (Pure)

Abstract

In energy communities with high penetration of renewables, electricity supply can become scarce during certain periods. In such cases, the objective of a resource allocation algorithm can be to minimize the disutility of the worst-off user of the community. This paper presents the problem of finding an optimal max-min fair allocation of available energy. A mixed-integer linear formulation is used to tackle the problem, so that the worst-off user’s disutility is minimized. The allocation results are compared to the standard approach that optimizes the system’s Social Welfare. The users’ disutility function models for electricity consuming devices, are based on their time-under-unsatisfied-demand, which is a measurable and comparable metric and does not rely on the user’s self reported valuation for energy consumption.
Original languageEnglish
Title of host publicationSEST 2020 - 3rd International Conference on Smart Energy Systems and Technologies
Number of pages6
ISBN (Electronic)978-1-7281-4701-7
DOIs
Publication statusPublished - 7 Sep 2020
Event3rd International Conference on Smart Energy Systems and Technologies, SEST 2020 - Virtual, Istanbul, Turkey
Duration: 7 Sep 20209 Sep 2020

Conference

Conference3rd International Conference on Smart Energy Systems and Technologies, SEST 2020
CountryTurkey
CityVirtual, Istanbul
Period7/09/209/09/20

Keywords

  • Energy Communities
  • Fairness
  • High RES Penetration

Fingerprint Dive into the research topics of 'Max-min fairness for demand side management under high RES penetration: Dealing with undefined consumer valuation functions'. Together they form a unique fingerprint.

Cite this