Title :
Piezoelectric Transformer Based Disturbance Monitoring Methodology for High-Voltage Power Supply Lines
Author :
Lele, Sneha ; Sobot, Robert ; Sidhu, Tarlochan
Author_Institution :
Dept. of Electr. & Comput. Eng., Western Univ., London, ON, Canada
Abstract :
We present a novel microsystem methodology to detect voltage and current disturbances in high power distribution lines. Our system employs a custom designed piezoelectric transformer operating at 50/60 Hz, as an alternative to the bulky electromagnetic transformer, to detect disturbances up to few kilohertz. In the frequency range of 10 Hz to 250 Hz, the piezotransformer steps down the 10-150 V input voltage with a linearity of ±1%. This stepped down piezo output is treated with a signal processing system designed based on frequency composition of the piezo signal, to generate a digital output. A 7-bit digital output from this system reports various types of line disturbances within 3 ms of occurrence. We present details of the proposed system, supported both by numerical simulations and experimental results.
Keywords :
electric sensing devices; electromagnetic devices; microsensors; numerical analysis; piezoelectric transducers; power distribution faults; power distribution lines; power supplies to apparatus; power transformers; signal processing; bulky electromagnetic transformer; current disturbances detection; custom designed piezoelectric transformer; disturbance monitoring methodology; frequency 10 Hz to 250 Hz; frequency 50 Hz; frequency 60 Hz; high power distribution line; high-voltage power supply line; microsystem methodology; numerical simulation; piezosignal frequency composition; piezotransformer; signal processing system; time 3 ms; voltage 10 V to 150 V; voltage disturbances detection; word length 7 bit; Circuit faults; Load modeling; Monitoring; Resonant frequency; Sensors; Signal processing; Time-frequency analysis; Analogue filters; Hall-effect; analogue signal processing; frequency modelling; piezoelectric transformer; voltage and current sensing;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2013.2296504