A Bilevel Approach for Optimal Price-Setting of Time-and-Level-of-Use Tariffs
| Autor: | Mathieu Besançon, Luce Brotcorne, Juan A. Gomez-Herrera, Miguel F. Anjos |
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| Přispěvatelé: | Integrated Optimization with Complex Structure (INOCS), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université libre de Bruxelles (ULB)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), École Polytechnique de Montréal (EPM), School of Mathematics - University of Edinburgh, University of Edinburgh |
| Rok vydání: | 2020 |
| Předmět: |
Consumption (economics)
Mathematical optimization General Computer Science Computer science 020209 energy 020208 electrical & electronic engineering [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO] 02 engineering and technology Bilevel optimization Upper and lower bounds Electric power system Optimization and Control (math.OC) FOS: Mathematics 0202 electrical engineering electronic engineering information engineering Revenue Probability distribution Mathematics - Optimization and Control Finite set ComputingMilieux_MISCELLANEOUS Energy (signal processing) |
| Zdroj: | IEEE Transactions on Smart Grid IEEE Transactions on Smart Grid, 2020, 11 (6), pp.5462-5465. ⟨10.1109/TSG.2020.3000651⟩ Besançon, M, Anjos, M F, Brotcorne, L & Gomez-herrera, J A 2020, ' A Bilevel Approach to Optimal Price-Setting of Time-and-Level-of-Use Tariffs ', IEEE Transactions on Smart Grid, vol. 11, no. 6, pp. 5462-5465 . https://doi.org/10.1109/TSG.2020.3000651 IEEE Transactions on Smart Grid, Institute of Electrical and Electronics Engineers, 2020, 11 (6), pp.5462-5465. ⟨10.1109/TSG.2020.3000651⟩ |
| ISSN: | 1949-3061 1949-3053 |
| Popis: | Time-and-Level-of-Use (TLOU) is a recently proposed pricing policy for energy, extending Time-of-Use with the addition of a capacity that users can book for a given time frame, reducing their expected energy cost if they respect this self-determined capacity limit. We introduce a variant of the TLOU defined in the literature, aligned with the supplier interest to prevent unplanned over-consumption. The optimal price-setting problem of TLOU is defined as a bilevel, bi-objective problem anticipating user choices in the supplier decision. An efficient resolution scheme is developed, based on the specific discrete structure of the lower-level user problem. Computational experiments using consumption distributions estimated from historical data illustrate the effectiveness of the proposed framework. |
| Databáze: | OpenAIRE |
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