未来高可再生电网的FNET/GridEye -应用概述

2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA) Pub Date : 2018-09-01 DOI:10.1109/TDC-LA.2018.8511657

Shutang You, Jiecheng Zhao, Wenxuan Yao, Yong Liu, Yi Cui, Ling Wu, Jiahui Guo, Yilu Liu

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引用次数: 28

摘要

可再生能源发电的集成对电力系统的实时态势感知提出了很高的要求。FNET/GridEye是一个用于广域电力系统监测的同步测量网络，14年来一直在协助实时态势感知并帮助提高许多电网的可靠性。为了帮助运营商应对不断增长的可再生能源带来的挑战，FNET/GridEye继续提高其测量精度并增强其功能。本文概述了最新的FNET/GridEye应用改进，这些改进有助于高可再生能源渗透率的电网运行。本文介绍的实时应用包括事件定位、振荡监测、惯性估计和孤岛检测。

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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FNET/GridEye for Future High Renewable Power Grids — Applications Overview

Integration of renewable generation sets high requirements for real-time situational awareness of power systems. FNET/GridEye, a synchrophasor measurement network for wide-area power system monitoring has been assisting realtime situational awareness and helping improve reliability in many power grids for 14 years. To aid operators confronting challenges from growing renewables, FNET/GridEye continues increasing its measurement accuracy and enhancing its functionalities. This paper provides an overview on the mostrecent FNET/GridEye application improvements that help power grid operation with high renewable penetration. The real-time applications presented in this paper include event location, oscillation monitoring, inertia estimation, and islanding detection.

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来源期刊

2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA)

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