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

Georgios Tsaousoglou, Pierre Pinson, N. G. Paterakis

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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Samenvatting

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.
Originele taal-2Engels
TitelSEST 2020 - 3rd International Conference on Smart Energy Systems and Technologies
Aantal pagina's6
ISBN van elektronische versie978-1-7281-4701-7
DOI's
StatusGepubliceerd - 7 sep 2020
Evenement3rd International Conference on Smart Energy Systems and Technologies, SEST 2020 - Virtual, Istanbul, Turkije
Duur: 7 sep 20209 sep 2020

Congres

Congres3rd International Conference on Smart Energy Systems and Technologies, SEST 2020
LandTurkije
StadVirtual, Istanbul
Periode7/09/209/09/20

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