微电网远程监测的数字孪生方法

M. Aquib, M. Chandorkar, S. Doolla
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引用次数: 2

摘要

监测远程微电网有助于为消费者提供更好的服务。预先了解故障和/或设备故障的位置/性质,为维护工程师在故障期间节省了大量时间。因此,微电网的非现场监测确保了故障清除过程中的正常运行和有效的工作执行,因为它为来访的工程师提供了故障和故障设备位置的想法。本文提出了一种基于数字孪生的远程微电网潮流监测方案。数字孪生是一种实时的、基于物理的仿真,与真实物理系统相结合,实时提供对不同特性的估计。利用仿真技术建立了基于物理的远程微电网数字孪生模型(其中dg采用传统下垂方案控制),并利用数字孪生模型对微电网的潮流进行了监测。该方案在实时仿真平台(RTSP)上针对不同类型的负载进行了验证。利用RTSP的不同核心实现物理微电网系统和基于数字孪生的监测方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Twin Approach for Remote Monitoring of Microgrids
Monitoring of remote microgrids helps in providing better service to the consumers. Prior idea of location/nature of fault and/or device malfunction saves a lot of time for the maintenance engineer during outrages. Thus, the off-site monitoring of microgrids ensures the proper operation as well as efficient work execution during clearance of fault as it gives an idea for the visiting engineer about the location of fault and malfunctioning devices. In this paper, a digital twin based scheme is presented for monitoring the power flow of remote microgrid. Digital twin is a real-time, physics based simulation integrated with the real physical system and provides the estimate of different characteristics in real-time. A physics based digital twin of the remote microgrid (wherein DGs are controlled with conventional droop scheme) is modeled using simulation and the power flow of the microgrid is monitored using digital twin model. The scheme is validated on a real-time simulation platform (RTSP) for different type of loads. Different cores of the RTSP are used for implementing the physical microgrid system and digital twin based monitoring scheme.
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