Regional planning of new-energy systems within multi-period and multi-option contexts: A case study of Fengtai, Beijing, China

In this study, an IROM-ES (inexact regional optimization model for energy systems) is developed with considering NESs (new energy sources) under uncertainty. The IROM-ES integrates techniques of ILP (interval linear programming), MLP (mixed-integer linear programming) and CCP (chance-constrained programming). In the IROM-ES, multiple uncertainties expressed as intervals and stochastic numbers are allowed to be incorporated into the framework …