Energy technology environment model with smart grid and robust nodal electricity prices

被引：14

作者：

Babonneau, Frederic ^{[1
,2
]}

Haurie, Alain ^{[2
,3
,4
]}

机构：

[1] Univ Adolfo Ibanez, Business Sch, Santiago, Chile

[2] ORDECSYS, Pl Etrier 4, CH-1224 Chene Bougeries, Switzerland

[3] Univ Geneva, Geneva, Switzerland

[4] GERAD HEC, Montreal, PQ, Canada

来源：

ANNALS OF OPERATIONS RESEARCH | 2019年 / 274卷 / 1-2期

关键词：

OR in energy; Long-term energy model; Power flow; Robust nodal electricity prices; Robust optimization; POWER DISTRIBUTION; PROGRAMMING MODEL; CONSTRAINTS; SYSTEM; TIAM;

D O I：

10.1007/s10479-018-2920-1

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：

This paper deals with the modeling of power flow in a transmission grid within the multi-sectoral multi-energy long-term regional energy model ETEM-SG. This extension of the model allows a better representation of demand response for flexible loads triggered by nodal marginal cost pricing. To keep the global model in the realm of linear programming one uses a linearized DC power flow model that represents the transmission grid with the main constraints on the power flowing through the different arcs of the electricity transmission network. Robust optimization is used to take into account the uncertainty on the capacity limits resulting from inter-regional transit. A numerical illustration is carried out for a data set corresponding roughly to the Leman Arc region.

引用

页码：101 / 117

页数：17

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