Title :
Power quality data analytics: Tracking, interpreting, and predicting performance
Author :
Santoso, S. ; Sabin, D.D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
Abstract :
This panel paper presents recent efforts in developing power quality data analytics for evaluating the performance of switched capacitor banks and their circuit switchers or breakers. The analytics tool evaluates if a switched capacitor has been energized or de-energized, and if the operation is successful. The analytics are capable of evaluating the performance of synchronous closing control and a switch restrike on opening condition. Example application using real-world power quality data is presented.
Keywords :
capacitor switching; circuit breakers; power distribution control; power supply quality; breakers; circuit switchers; power quality data analytics; switched capacitor banks; synchronous closing control; Capacitors; Monitoring; Power quality; Resonant frequency; Switches; Transient analysis; Voltage control; circuit breakers; data warehouses; intelligent systems; knowledge based systems; power capacitors; power quality; switched capacitor circuits;
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6345150
