Research on Key Technology of Digital Twin and Its Application in Integrated Energy System

Abstract

Integrated Energy System (IES) can effectively improve energy utilization efficiency through multi-energy coupling. However, the mechanism is unclear and the randomness of the system is strong, which is difficult for system modeling and operation optimization. Digital twin (DT) can built the twin model in digital space that change synchronously with the physical object, and carry out behavior prediction and intelligent decision-making, which is an effective way to solve the above problems of IES. Focusing on DT, this paper firstly analyzes the development mode of DT system, including symbiosis, evolution and optimization, and puts forward key technology on fusion modeling, neural network optimization and intelligent decision making. Secondly, from the view of source, network, load and storage, this paper deeply summarizes and refines the current methods of the DT model building in IES. Finally, the symbiosis framework of DT model building in IES is proposed, which enables the accurate description and mapping of the system characteristic, and provides accurate model support for the operation optimization in IES.