Abstract

In order to realize the energy supply-side reform and promote the “double carbon” goal, the power supply structure of China is being optimized and the proportion of renewable energy sources (RES) is gradually increasing, resulting in the traditional mechanism model analysis methods can hardly satisfy the requirements of monitoring and operation optimization of new power systems. Digital twin technology utilizes sensors, big data, artificial intelligence and other technologies to establish the mirroring from physical space to virtual space, and it is an effective way to analyze the evolution law of dynamic behavior of key equipment and power systems, and propose optimal control strategies. Based on the technical connotation of digital twin, this paper proposes a framework for the construction of digital twin microgrids with high percentage of RES. A real-time digital simulator (RTDS) is used to build a grid-level digital twin microgrid to digitally reproduce the equipment, environment and other key aspects of the physical grid. A digital twin framework for power equipment is proposed to provide a systematic structural support for the digital management of microgrid power equipment. Finally, the advanced application module of digital twin microgrid is prospected to provide lessons and references for the construction of digital twin microgrid.

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