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

Georgios Tsaousoglou, Pierre Pinson, Nikolaos G. Paterakis

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    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 publicationProceedings of 3rd International Conference on Smart Energy Systems and Technologies
    Number of pages6
    PublisherIEEE
    Publication dateSep 2020
    Article number9203247
    ISBN (Electronic)9781728147017
    DOIs
    Publication statusPublished - Sep 2020
    Event3rd International Conference on Smart Energy Systems and Technologies - Virtual event, Istanbul, Turkey
    Duration: 7 Sep 20209 Sep 2020
    Conference number: 3

    Conference

    Conference3rd International Conference on Smart Energy Systems and Technologies
    Number3
    LocationVirtual event
    Country/TerritoryTurkey
    CityIstanbul
    Period07/09/202009/09/2020
    SponsorYildiz Technical University

    Keywords

    • Energy Communities
    • Fairness
    • High RES Penetration

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