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DOE OSTI · 2000245

Real-Time Detection and Localization of Line Trip Event Via Relative Phase Angles

Yin, He·Qiu, Wei·Wu, Yuru·You, Shutang·Dong, Yuqing·Yu, Wenpeng·Liu, Yilu
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Abstract

Line trip events widely exist in power systems. They can result in power outages and a huge economic loss if not promptly detected and localized. To provide a fast and precise solution, this paper presents a Complete Coverage of Voltage Measurement (CCVM)-based line trip event detection algorithm and a Relative Phase Angle (RPA)-based line trip event localization algorithm. First, frequency and relative phase angle features during a line trip event are calculated. Then, the CCVM-based algorithm is proposed from both frequency and rate of change of frequency estimation algorithm aspects. Additionally, the RPA-based algorithm is presented, and two cases are studied to demonstrate the uniqueness of the proposed algorithm. Various experiments are conducted, where the simulation results demonstrate that the proposed CCVM-based algorithm can detect a line trip event as short as 2.07 ms. In addition, the RPA-based algorithm has 1.26 times higher localization accuracy compared with the frequency magnitude-based and phase angle-based algorithms. In conclusion, the experiment results on the examples from two interconnected power systems in the U.S. verified the performance of the proposed algorithms in wide-area power systems.

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24 POWER TRANSMISSION AND DISTRIBUTIONLine trip event detectionevent localizationrelative phase anglewide-area power systems

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Yin, He, Qiu, Wei, Wu, Yuru, You, Shutang, Dong, Yuqing, Yu, Wenpeng, Liu, Yilu. 2023-06-19. Real-Time Detection and Localization of Line Trip Event Via Relative Phase Angles. https://doi.org/10.1109/tpwrs.2023.3287233

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