Integer programming with random-boundary intervals for planning municipal power systems

被引:14
作者
Cao, M. F. [2 ]
Huang, G. H. [1 ]
Lin, Q. G. [3 ]
机构
[1] Univ Regina, Fac Engn, Environm Syst Engn Program, Regina, SK S4S 0A2, Canada
[2] N China Elect Power Univ, Sinocanada Ctr Energy & Environm Res, Beijing 102206, Peoples R China
[3] Univ Regina, Environm Canada, Adaptat & Impacts Res Grp, Ctr Studies Energy & Environm, Regina, SK S4S 0A2, Canada
关键词
Random-boundary interval; Integer-interval; Uncertainty; Correlation; Electricity supply planning; SOLID-WASTE MANAGEMENT; AIR-QUALITY MANAGEMENT; ENERGY-SYSTEMS; OPTIMIZATION APPROACH; MODEL; UNCERTAINTY;
D O I
10.1016/j.apenergy.2010.03.005
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
Uncertainty attached to municipal power systems has long been crucial considerations for the related planners. Such an uncertainty could be expressed as random-boundary intervals (RBIs) In this study, an integer programming with random-boundary intervals (IPRBI) approach was developed for municipal electricity-supply management under uncertainty A concept of random-boundary interval (RBI) was introduced to reflect dual uncertainties that exist in many system components A solution method named two-boundary approach (TBA) was proposed to solve the IPRBI model. A case study was provided for demonstrating applicability of the developed method The results indicated that the RBI and integer-interval concepts were effective in dealing with highly uncertain parameters The IPRBI method solutions could be used for generating efficient electricity-supply schemes under various complexities They can also be used for analyzing tradeoffs between system cost and electricity-shortage risk. Compared with the existing methods. IPRBI was advantageous in reflecting the complexities of system uncertainties that were presented as RBIs, integer-intervals and intervals. Crown Copyright (C) 2010 Published by Elsevier Ltd All rights reserved.
引用
收藏
页码:2506 / 2516
页数:11
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