An interval full-infinite mixed-integer programming method for planning municipal energy systems - A case study of Beijing

被引：52
|
作者：
Zhu, Y. [1 ]
Huang, G. H. [1 ]
Li, Y. P. [1 ]
He, L. [1 ]
Zhang, X. X. [2 ]
机构：
[1] N China Elect Power Univ, MOE Key Lab Reg Energy Syst Optimizat, SC Energy & Environm Res Acad, Beijing 102206, Peoples R China
[2] State Grid Energy Res Inst, Beijing 100052, Peoples R China
来源：
APPLIED ENERGY | 2011年 / 88卷 / 08期
关键词：
Decision making; Energy systems; Functional interval; Planning; Mixed-integer; Uncertainty; HYDROTHERMAL SYSTEM; OPTIMIZATION MODEL; MANAGEMENT; UNCERTAINTY; DEMAND; BUILDINGS; NETWORK; SECTOR; COST;
D O I：
10.1016/j.apenergy.2011.01.058
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：
In this study, an interval full-infinite mixed-integer municipal-scale energy model (IFMI-MEM) is developed for planning energy systems of Beijing. IFMI-MEM is based on an integration of existing interval-parameter programming (IPP), mixed-integer linear programming (MILP) and full-infinite programming (FIP) techniques. IFMI-MEM allows uncertainties expressed as determinates, crisp interval values and functional intervals to be incorporated within a general optimization framework. It can also facilitate capacity-expansion planning for energy-production facilities within a multi-period and multi-option context. Then, IFMI-MEM is applied to a real case study of energy systems planning in Beijing. The results indicate that reasonable solutions have been generated. They are helpful for supporting (a) adjustment of the existing demand and supply patterns of energy resources, (b) facilitation of dynamic analysis for decisions of capacity expansion and/or development planning, and (c) coordination of the conflict interactions among economic cost, system efficiency, pollutant mitigation and energy-supply security. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码：2846 / 2862
页数：17
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