所属单位：环境与市政工程学院

发表刊物：Environmental Modelling & Software

关键字：中文关键字：决策；碳交易；风险分析；函数区间；不确定性，英文关键字：Decision making，Carbon emission trading，Functional

摘要：Concerns over dramatic increasing electricity demand, exacerbating power shortage and changing climatic condition are emerging associated with municipal electric power systems (EPS). In this study, a risk-explicit mixed-integer full-infinite programming (RMFP) approach is developed for planning carbon emission trading (CET) in EPS. RMFP-CET has advantages in risk reflection and policy analysis, particularly when the input parameters are provided as crisp and functional intervals as well as probabilistic distributions. The developed method is applied to a real case study of CET planning of EPS in Beijing. Various electricity policies are incorporated within the modeling formulation for enhancing the RMFPCET's capability. The results indicate that reasonable solutions have been generated, which are useful for making decisions of electricity production and supply as well as gaining insight into the tradeoffs among electricity supply risk, system cost, and CO2 mitigation strategy.

备注：祝颖

合写作者：Li,Y.P.*,Huang,G.H

第一作者：祝颖

论文类型：期刊论文

卷号：卷：67

期号：期：

页面范围：页：43-56

是否译文：否

发表时间：2015-11-01