An Interval-Parameter Chance-Constraint Mixed-Integer Programming for Energy Systems Planning Under Uncertainty

被引：16

作者：

Huang, G. H. ^{[1
]}

Niu, Y. T. ^{[2
]}

Lin, Q. G.

Zhang, X. X. ^{[2
]}

Yang, Y. P. ^{[3
]}

机构：

[1] Univ Regina, Fac Engn & Appl Sci, Ctr Studies Energy & Environm, Environm Canada, Regina, SK S4S 0A2, Canada

[2] N China Elect Power Univ, Energy & Environm Res Ctr, Beijing, Peoples R China

[3] N China Elect Power Univ, Sch Energy Power & Mech Engn, Beijing, Peoples R China

来源：

ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY | 2011年 / 6卷 / 02期

关键词：

chance-constraint programming; energy system planning; interval parameter; mixed-integer; uncertainty; MANAGEMENT; MODEL; CITY;

D O I：

10.1080/15567240903485931

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Energy management systems are fraught with uncertainties. Such uncertainties may be expressed by interval numbers or probability distributions. In addition, issues of capacity expansion related to timing, sizing, and siting under such uncertainties need to be addressed. In this article, an interval-parameter chance-constraint mixed-integer programming (ICCP) is developed to tackle highly uncertain problems in energy management systems through integrating interval-parameter linear programming and chance-constraint programming. The developed model is then applied to a regional energy system. The results indicate that ICCP can effectively deal with uncertain information in energy management systems.

引用

页码：192 / 205

页数：14

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