Detection and Prevention Power System Fault: Detection and Prevention Ryan Habib Wilkes University Huy Tran Richland College
Purpose Construct a simple data acquisition system to mimic the measuring of an arc flash incident
Arc Flash A rapid release of energy in the form of an electrical explosion that results from a low impedance connection between lines of different voltage or phases
Arc Flash damage Most burns from electrical accidents are a result of arc flash Temperatures can reach up to 20,000⁰C Most occurrences are in industrial settings due to required power levels
Arc Flash Experimentation Fiber Optic Internet Connection Slug calorimeters and Pressure sensors NI cRio: 16 Differential AI 16 TTL Compatible DI/O AD210 + MOV Analog Devices 7B-47-K-04-1 (Build-in CJC) Experimental DAQ System
Arc Flash Simulation
SCADA (Supervisory Control And Data Acquisition) Systems Versatile industrial control system Components Sensor Remote terminal unit Central computer
Sensors Reads a signal from a physical property and converts it into one usable by a control system Photoresistor Hall effect sensor
Thermocouple Type K thermocouple Produces output voltage dependent on temperature Made of two metals with different conducting properties Temperature range of -200⁰C to 1350⁰C
Types of Thermocouples Materials Traits B/R/S Platinum-Rhodium Low Sensitivity, High Cost E Chromel-Constantan High Sensitivity, Non-metallic J Iron-Constantan Low Range, High Sensitivity K Chromel-Alumel Inexpensive, Versatile, Reliable N Nicrosil-Nisil More stable in high-energy environments T Copper-Constantan Very Stable, especially at lower temperatures
Analog to Digital Conversion 7B47 Signal Conditioning Module Successive Approximation ADC
Data Logger Records digital data from the sensors Easily connected to other machines to display information in real time
GL800 Simultaneously displays and records data from up to 20 inputs
LabVIEW Large quantity of functions for data acquisition, signal conditioning, and data analysis purposes Extensive support for accessing instrumentation hardware
System Setup Seven thermocouples were each connected to their own 7B47 signal conditioning module Each module was connected to an input of the GL800 USB/Ethernet cable connected GL800 to computer
Test Process Place thermocouple in water to be measured Send digital pulse to trigger the GL800 data recording Connect computer to GL800 to record data on the computer Convert data from GL800 from voltage to temperature
Setup
Results: Change from Air to Hot Water
Results: Change from Air to Hot Water (Average)
Results: Change from Air to Cold Water
Results: Change from Air to Cold Water (Average)
Results: Change from Hot Water to Air
Results: Change from Hot Water to Air (Average)
Results: Change from Cold Water to Air
Results: Change from Cold Water to Air (Average)
Results: Change from Hot Water to Cold Water
Results: Change from Hot Water to Cold Water (Average)
Results: Change from Cold Water to Hot Water
Results: Change from Cold Water to Hot Water (Average)
Results: Change from Adding Hot Water to Cold Water
Results: Change from Adding Hot Water to Cold Water (Average)
Data Analysis System did a solid, yet unspectacular, job of reading changes in water temperature Variance in quality of measurements throughout the different tests Could be attributed to variety of factors, including low sample rate and lack of memory
Comparisons with LabVIEW Using LabVIEW would’ve solved the issues with sample rate and memory Interface is much less intuitive Weeks/months to master skills necessary for this type of task
Conclusion The DAQ system was able to measure changes in temperature in a relatively effective manner The components in the system are versatile enough to be used in a wide array of situations For these specific tests, a data logger with a higher sampling rate, along with a sensor with a more narrow range, would have been more effective
Acknowledgements Dr. Wei-Jen Lee Zhenyuan Zhang Zhaohao Ding The University of Texas at Arlington National Science Foundation