Long-term electricity contract optimization with demand uncertainties

被引:9
作者
Chan, Pang [1 ]
Hui, Chi-Wai
Li, Wenkai
Sakamoto, Haruo
Hirata, Kentaro
Li, Pu
机构
[1] Hong Kong Univ Sci & Technol, Dept Chem Engn, Hong Kong, Hong Kong, Peoples R China
[2] Mitsubishi Chem Grp, Proc Syst Engn & Prod Technol, Res & Technol Dev Div, Proc Dev & Design Lab,Proc Syst Engn & Prod Techn, Yokaichi, Mie 5108530, Japan
[3] Tech Univ Berlin, Inst Prozess & Anlagentech, KWT9, D-10623 Berlin, Germany
基金
中国国家自然科学基金;
关键词
electricity contract; optimization; uncertainty; probabilistic programming; confidence level;
D O I
10.1016/j.energy.2005.10.035
中图分类号
O414.1 [热力学];
学科分类号
摘要
This paper presents a study on selecting electricity contracts for a large-scale chemical production plant, which requires electricity importation, under demand uncertainty. Two common types of electricity contracts are considered, time zone (TZ) contract and loading curve (LC) contract. A multi-period linear probabilistic programming model is adopted for the contract selection and optimization. Hence, by using the probabilistic programming, a solution procedure is proposed that allow users to determine the best electricity contract according to their desired confident level of the uncertainties. In addition, due to the fact that the demand of product is uncertain, if one considers the overage and shortage of the products in the market as well, an interesting result can be obtained. The methodology is explained in the paper. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2469 / 2485
页数:17
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