Stochastic framework for planning studies of energy systems: a case of EHs

The substantial presence of different uncertainties in energy systems highlights the need for probabilistic analysis of operational and planning studies. Motivated by this fact, a new stochastic planning framework for energy hubs (EHs) is presented in this study based on the probability transformation concept. In the proposed framework, a measure of relative‐likelihood impact is developed to estimate the importance of uncertainty sources in the studies, which, in turn, can remarkably reduce the overall complexity of stochastic problems. Step‐by‐step algorithm for implementation of the proposed framework on planning studies of an EH is also addressed in this study. Three different case studies are introduced, and the results provide some insightful information regarding the impact of different uncertainty sources in the system.