Collaborative Optimization of Multi-Energy Operation and Industrial Production Scheduling

Abstract

This paper constructs a framework of collaborative optimization between multi-energy system (MES) and industrial plants. The coupling models of MES and industrial plants are established respectively. The objective of collaborative optimization problem is to minimize the total energy costs by optimizing the output power of energy equipments in MES and the production scheduling of workshops in industrial plants. In addition, considering the recovery of carbon dioxide, the power-to-gas unit is integrated into the MES. Three different cases are used to demonstrate the effectiveness and superiority of the proposed collaborative optimization method.