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

fYear

2012

fDate

22-26 July 2012

Firstpage

1

Lastpage

7

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Society General Meeting, 2012 IEEE

Conference_Location

San Diego, CA

ISSN

1944-9925

Print_ISBN

978-1-4673-2727-5

Electronic_ISBN

1944-9925

Type

conf

DOI

10.1109/PESGM.2012.6345150

Filename

6345150