A copula-based fuzzy chance-constrained programming model and its application to electric power generation systems planning

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• 作者：F. Chen^a ; G.H. Huang^b ; ^c ; ^{huang@iseis.org} ; Y.R. Fan^a ; J.P. Chen^a
• 关键词：Copula ; Joint-probabilistic constrained programming ; Generalized fuzzy linear programming ; Multiple uncertainties ; Electric power generation systems planning
• 刊名：Applied Energy
• 出版年：2017
• 出版时间：1 February 2017
• 年：2017
• 卷：187
• 期：Complete
• 页码：291-309
• 全文大小：2650 K
• 卷排序：187

文摘

A copula-based fuzzy chance-constrained programming model is developed. This model can reflect interactions among random variables of systems. Copulas are used to construct joint distribution functions of the random variables. A GFLP technique is introduced to deal with uncertainties expressed as fuzzy sets. This model has a wider range of applications than the previous models.