Two-Stage Robust Economic and Carbon Emission Optimal Scheduling of Integrated Energy System

Abstract

A two-stage robust optimization model with min-max-min formulation is proposed for the cooling-heating-electricity-gas integrated energy system (IES), respectively with the optimization objective of minimizing operation cost and carbon emission. The uncertainties of photovoltaic (PV) output and electricity demand are considered. The middle and inner layers are reformulated into a single-layer optimization by using duality theory and big-M method. The outer layer searches for the electricity purchase or sale decision considering the worst-case scenario, determined by the middle and inner layer. Column and constraint generation (C&CG) algorithm are employed to solve the two-stage model. Case study demonstrates the effectiveness of the presented model and shows the different scheduling results under the economic and carbon emission objectives.