Journal article
A generalized fuzzy chance-constrained energy systems planning model for Guangzhou, China
Abstract
In this study, a generalized fuzzy chance constrained programming method is developed for the energy system planning in Guangzhou under multiple uncertainties. Through integrating the generalized fuzzy programming and chance-constrained programming into an inexact optimization framework, this method can handle uncertainties expressed as probability distributions, fuzzy sets and fuzzy random variables. Solutions of energy supply, power …
Authors
Cai M; Huang G; Chen J; Li Y; Fan Y
Journal
Energy, Vol. 165, , pp. 191–204
Publisher
Elsevier
Publication Date
December 2018
DOI
10.1016/j.energy.2018.09.003
ISSN
0360-5442