A Collaborative Demand-Controlled Operation Strategy for a Multi-Energy System

The multi-energy system is a promising energy-efficient technology to supply electric and thermal energy end-users simultaneously, which can realize the cascade utilization. However, it challenging optimize operation of systems due their inherent structural complexity, as well highly coupled nature multiple flows uncertainty renewable generation. This paper proposed collaborative demand-controlled strategy for system, consists an upper-level model lower-level model. In model, robust linear optimization method adopted in day-ahead stage. stochastic rolling applied achieve dynamic adjustment cope with fluctuation both electricity generation load. also optimal load shifting create flexibility demand despite “source-load” imbalance power fluctuation. A case study carried out simulation results verify effectiveness correctness coordinated framework.