A novel multi-stage fuzzy stochastic programming for electricity system structure optimization and planning with energy-water nexus - A case study of Tianjin, China

Abstract

In this study, a novel multi-stage fuzzy stochastic programming (MSFSP) model was developed for regional energy system structure optimization and planning with energy-water nexus under multiple uncertainties. By cooperating the multistage stochastic programming and fuzzy theory, the developed model can deal with energy system planning problems under a mixture of probabilistic and possibilistic uncertainties. Fuzzy random scenarios are designed …