Wide Area Based Network Stability Analysis System

位于加拿大马卡姆的GE Digital Energy是一家领先的研发机构，参与开发 电力系统继电保护和控制设备。该公司已表示有兴趣与刘易斯教授合作。 Rama Gokaraju(萨斯喀彻温省大学)和支持NSERC Engage赠款提案，以制定 基于广域的电网暂态分析系统。这项工作将实时执行 萨斯喀彻温大学电力系统仿真实验室(3C63)，由Rama Gokaraju教授 指导。研究工作将涉及开发一种用于广域的同步相量方法 暂态不稳定预测及其与已有的最先进方案的性能比较 行业中常用的频率变化率法、盲法等。测试将会进行 使用萨斯喀彻温省大学提供的实时数字模拟器(RTDS)。详细 毕业生将在仿真器上开发电力系统的电磁仿真模型 学生和电力系统在压力条件下的行为将被研究。建议数 将开发同步相量方法，以便更快地预测这些条件下的不稳定性。 GE Markham捐赠了两台N60网络稳定性和同步相量测量系统设备 为了测试的目的。 测试结果将被通用电气用来改进他们的N60继电器产品。结果将会是 以IEEE论文的形式发表。拟议的研究将为学生提供一个独特的机会来做 使用实际电力系统运行的实际设备上的网络不稳定条件测试 条件。

GE Digital Energy in Markham, Canada is a leading R&D organization which is involved with developing power systems relaying and control equipment. The company has expressed interest in collaborating with Prof. Rama Gokaraju (University of Saskatchewan) and supporting a NSERC Engage grant proposal to develop a wide area based power network transient analysis system. The work would be performed in the Real-Time Power Systems Simulations Laboratory (3C63) at the University of Saskatchewan under Prof. Rama Gokaraju's guidance. The research work would involve developing a synchrophasor methodology for wide area based transient instability prediction and comparing its performance with state-of-the-art schemes already used in the industry, such as rate of change of frequency methods, blinder based methods. The testing would be carried out using a real time digital simulator (RTDS) available at the University of Saskatchewan. Detailed electromagnetic simulation models of the power systems would be developed on the simulator by the graduate students and the power systems behavior during stressed conditions would be studied. The proposed synchrophasor methodology would be developed for faster prediction of instabilities during these conditions. GE Markham has donated two N60 Network Stability and Synchrophasor Measurement System equipment's for the purpose of testing. The results of the testing would be used by GE to improve their N60 relaying product. The results would published as an IEEE paper. The proposed research will provide a unique opportunity to the students to do testing of network instability conditions on actual equipment using realistic power systems operating conditions.