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A mixed integer nonlinear optimization model for gas sale company

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Abstract

In this paper the authors propose an optimisation model, called OMoGaS (Optimisation Modelling for Gas Seller), to assist companies dealing with gas retail commercialisation. The model takes into account the limits on price imposed by law on small consumers as well as the gas company policies in order to explore the commercial consequences of different policies. The GAMS framework is used for the optimisation of the defined MINLP model where the profit function is based on the number of contracts with the final consumers, on the tipology of consumers and on the cost supported to meet the final demand while the constraints include information on a maximum daily gas consumption, on yearly maximum and minimum comsumption in order to avoid penalties and on consumption profiles. A case study is presented.

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Authors and Affiliations

  1. Department of Quantitative Methods, Brescia University, Contrada S. Chiara, 50, Brescia, 25122, Italy

    E. Allevi

  2. Department of Mathematics, Statistics, Computer Science and Applications, Bergamo University, Via dei Caniana 2, Bergamo, 24127, Italy

    M. I. Bertocchi

  3. Department of Management Engineering, Bergamo University, Via Marconi 5A, Dalmine, 24044, Italy

    M. T. Vespucci & M. Innorta

Authors
  1. E. Allevi
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  2. M. I. Bertocchi
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  3. M. T. Vespucci
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  4. M. Innorta
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Correspondence to M. I. Bertocchi.

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Allevi, E., Bertocchi, M.I., Vespucci, M.T. et al. A mixed integer nonlinear optimization model for gas sale company. Optimization Letters 1, 61–69 (2007). https://doi.org/10.1007/s11590-006-0012-7

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  • DOI: https://doi.org/10.1007/s11590-006-0012-7

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