Open AccessMonitoring and measurement of high‐frequency oscillatory transient recovery voltage of circuit breakers
Author(s) -
Malekpour Majid,
Pouramin Alireza,
Malekpour Amin,
Phung Toan,
Ambikairajah Eliathamby
Publication year - 2018
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/iet-smt.2017.0305
Subject(s) - circuit breaker , waveform , transient recovery voltage , transient (computer programming) , band stop filter , integrator , interrupt , computer science , control theory (sociology) , power (physics) , voltage , electric power system , filter (signal processing) , electronic engineering , electrical engineering , microcontroller , low pass filter , engineering , voltage regulator , physics , control (management) , artificial intelligence , quantum mechanics , operating system , dropout voltage
Studying the characteristics of transient recovery voltage (TRV) becomes mandatory for selectingan appropriate circuit breaker (CB) in terms of protection and control of thepower system network. A CB may fail to interrupt the short circuit faults if itsrated TRV characteristic is lower than that of the power system characteristics.This paper aims to extract the net TRV waveform imposed on the breaker contactswithout any prior knowledge about the system parameters. Better accuracy isachieved in the measurement of TRV parameters because the power frequencycomponent superimposed on the raw waveform has been removed. Based on theconcept of the second order generalized integrator‐adaptive notch filter(SOGI‐ANF), the behaviour of the TRV over time has been studied. The prominentadvantage of the presented method is that it is independent from the circuitconfiguration and voltage and thus can be performed online on different types ofpower networks. The adaptive feature of the SOGI‐ANF and its simple structuremake it a suitable tool for analysis of TRV in power system networks. Thereal‐time implementation of the SOGI‐ANF has been obtained using an STM32F4Discovery microcontroller board and experimental results show the effectivenessof the proposed method.