A mixed integer nonlinear optimization model for gas sale company

被引：6

作者：

Allevi, E. ^{[2
]}

Bertocchi, M. I. ^{[1
]}

Vespucci, M. T. ^{[3
]}

Innorta, M. ^{[3
]}

机构：

[1] Bergamo Univ, Dept Math Stat Comp Sci & Applicat, I-24127 Bergamo, Italy

[2] Univ Brescia, Dept Quantitat Methods, I-25122 Brescia, Italy

[3] Bergamo Univ, Dept Engn Management, I-24044 Dalmine, Italy

来源：

OPTIMIZATION LETTERS | 2007年 / 1卷 / 01期

关键词：

Natural gas market; Gas sales company; Tariff components; Nonlinear integer programming;

D O I：

10.1007/s11590-006-0012-7

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

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.

引用

页码：61 / 69

页数：9