active fault level management jonathan berry lcnf conference 25 th october 2012
TRANSCRIPT
Active Fault Level Management
Jonathan BerryLCNF Conference25th October 2012
Agenda
• Why monitor Fault Level?• Development and testing of an active FL
monitoring device• Next steps for the Project
Why Monitor Fault Level?
UK energy policy
More generation
sources being
connected in distribution networks
Increased fault levels
Existing equipment
ratings becoming exceeded
Substantial infrastructure
investment
Major operational restrictions
Inability to connect new generation
Increased Fault Level knowledge
Enhanced network
operational decision making
Existing equipment
ratings NOT exceeded
Increased operational regimes for customers
Substantial infrastructure
investment
Major operational restrictions
Inability to connect new generation
Why Monitor Fault Level?
• Move from natural disturbance to artificial disturbance detection
• Device to create an artificial, non-customer affecting, disturbance
Development of an Active System
5
S&C IntelliRupter
Active FLM Testing
IntelliRupter
Current TransformersVoltage Transformers
Inductor
PM7000 - FLM
Active FLM test results
Fault Level ResultsPredicted Actual Error
Peak 30.63kA 31.34kA 2.26%RMS 12.72kA 13.10kA 2.90%
Harmonic and Voltage test results
17:22:36.62419/07/12 17:22:36.93119/07/126.3606.3806.400
Voltage (kV) MaximumMinimumAveragekV RMS of Van 6.417 6.353 6.406kV RMS of Vbn 6.398 6.343 6.388kV RMS of Vcn 6.397 6.385 6.393
20:33:23.05419/07/12 20:33:23.38019/07/1223.15 23.20 23.25 23.30Time 326 millisecs (ss)-10.0000.00010.000
Voltage (kV) 2.04.0
Value (%) MaximumMinimumAverage% THD of Vab 4.7 0.4 1.1% THD of Vcb 2.2 0.5 0.8Input Vab (V1) (Waveform) 15.787 -15.764 -0.026Input Vcb (V3) (Waveform) 15.777 -15.756 0.132Harmonic distortion caused by FLMVoltage fluctuation caused by FLM
Both tests were carried out using the factory acceptance test arrangement
• Maximum voltage fluctuation is 1% in a 300ms timeframe• This result is ER P28 compliant
• Maximum Total Harmonic Distortion is 4.7% in a 300ms timeframe• This result is ER G5/4 compliant
• Fault Level prediction accuracy within 4.5%
Development and Next Steps
Natural disturbance monitoring
• Utilise network events to monitor changes in voltage and current
• Fault Level data stored for analysis
Artificial disturbance monitoring
• Utilise artificial events to create changes in voltage and current
• Determine Fault Level in real-time
Real-time Fault Level monitoring
Thank you
www.westernpowerinnovation.co.uk
Jonathan BerryInnovation & Low Carbon Networks Engineer
[email protected] 258 671 / 0121 6 239459