Digital Twin for Power System Steady-state Modelling, Simulation, and Analysis

Yong Cui, Fei Xiao, Wei-hong Wang, Xing He, Chong Zhang, Yuan Zhang
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引用次数: 4

Abstract

PSDT (Digital twin of power systems) is a promising medium to exploit the bonus of a stream of state-of-the-art technologies in smart grid. This paper first reviews the PSDT and its framework as the background. Then we focus on its fundamental applying scenario—PSDT-based modelling, simulation, and analysis (PMSA) for the steady-state, which is a supplement to and more adaptive than its conventional model-based counterpart. The PMSA is designed under the proposed PSDT framework, and validated using numerous cases. PMSA, aiming at a revisit of steady-state analysis of power system in today’s escience age, may make a profound impact on the energy system, the energy internet, and the data science.
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电力系统稳态建模、仿真与分析的数字孪生
PSDT(电力系统的数字孪生)是一种很有前途的媒介,可以利用智能电网中一系列最新技术的红利。本文首先以PSDT及其框架为背景进行综述。然后重点介绍了其基本应用——基于场景psdt的稳态建模、仿真和分析(PMSA),它是对传统的基于模型的建模、仿真和分析的补充,具有更强的适应性。PMSA是在拟议的PSDT框架下设计的,并使用许多案例进行了验证。PMSA旨在重新审视当今科学时代电力系统的稳态分析,可能对能源系统、能源互联网和数据科学产生深远影响。
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