Revenue optimization in energy networks involving self-scheduled demand and a smart grid
•.A new bilevel model for a day-ahead energy pricing and load balancing problem.•A new reformulation of the mixed integer bilevel model as a single level one•Two new efficient heuristics to produce good solutions in moderate computation time In this paper, we address a day-ahead pricing and load bal...
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| Veröffentlicht in: | Computers & operations research 2021-10, Vol.134, p.105366, Article 105366 |
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| creator | Afşar, Sezin Brotcorne, Luce Marcotte, Patrice Savard, Gilles |
| description | •.A new bilevel model for a day-ahead energy pricing and load balancing problem.•A new reformulation of the mixed integer bilevel model as a single level one•Two new efficient heuristics to produce good solutions in moderate computation time
In this paper, we address a day-ahead pricing and load balancing problem, within an environment involving self-scheduled users whose utilities are optimized via a smart grid. The model is formulated as a mixed integer bilevel program for which we propose a single level reformulation. Next, we design two heuristic algorithms which, by relying on the structure of the problem, provide high quality solutions in moderate computation time. |
| doi_str_mv | 10.1016/j.cor.2021.105366 |
| format | Article |
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| source | Elsevier ScienceDirect Journals Complete |
| subjects | Algorithms Computer Science Day ahead pricing Demand response Heuristic methods Mixed integer Mixed integer bilevel programming Operations Research Optimization Smart grid Utilities |
| title | Revenue optimization in energy networks involving self-scheduled demand and a smart grid |
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