Digital Twin and Its Application in Power System

Huaming Pan, Z. Dou, Yanxing Cai, Wenzhu Li, Xing Lei, Dong Han
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引用次数: 34

Abstract

This paper introduces the digital twinning technology, which integrates multi-disciplinary, multi-physical, multi-scale and multi-probability simulation processes by using physical models and sensors, and completes mapping in virtual space, thus reflecting the whole life cycle process of corresponding entities, and the existing models based on digital twin in related fields and their uses and implementation methods are analyzed. According to the existing models and methods, the digital twin technology is combined with the power system, which can be applied to the optimization design of the power grid, the simulation and simulation of power grid faults, virtual power plants, intelligent equipment monitoring, and other services. The application scenario of digital twin of power systems (PSDT) is expounded, and the key technologies of PSDT implementation are exemplified by Cai-Lun Station as an example. The model structure of PSDT and the method of model reduction are explained.
数字孪生及其在电力系统中的应用
介绍了数字孪生技术,该技术利用物理模型和传感器集成多学科、多物理、多尺度、多概率的仿真过程,在虚拟空间中完成映射,从而反映相应实体的全生命周期过程,分析了相关领域基于数字孪生的现有模型及其用途和实现方法。根据现有的模型和方法,将数字孪生技术与电力系统相结合,可应用于电网的优化设计、电网故障的仿真与仿真、虚拟电厂、智能设备监控等服务。阐述了电力系统数字孪生(PSDT)的应用场景,并以蔡伦电站为例说明了实现PSDT的关键技术。阐述了PSDT的模型结构和模型约简方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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