1. Fault Statistics – Quo Vadis Günther Brauner AT
BRAUNER AT Session 4

2. Fault Statistic Indices
Network Statistics
Voltage Dips (10 ms – 1 s)
Short Interruptions (1 s – 3 min)
Long Interruptions (> 3 min)
Consumer Statistics
Non delivered energy
SAIDI and SAIFI per customer
BRAUNER AT Session 4

3. Fault Statistic Indices
Component Statistics
Component type (transformer, breaker, line…)
Manufacturer
Condition (age, loading, no. of operations…)
Fault type (mechanical, electrical, electronic…)
Maintenance history … ….
BRAUNER AT Session 4

4. Reason for Faults unplanned external
(causes: lightning, storm, digging. . .)
unplanned internal
(causes: ageing, mal operation)
planned
(maintenance, reconstruction)
BRAUNER AT Session 4

5. MV-Fault Statistic is significant
BRAUNER AT Session 4

6. The Problem of Flagging of Faults
A fault in one network level has influence on other networks
Monitoring and Fault statistics show multiple counting
Origin of fault not evaluated
Flagging of faults can help to find the origin
Necessary if fault statistics are used for PQ-Regulation
BRAUNER AT Session 4

7. Monitoring and Flagging of Faults
BRAUNER AT Session 4

8. Fault Statistics – Quo Vadis
Austrian Energy regulation started without PQ-incentives
Only Tariff-Regulation
Austrian Statistics Directive (2002):
Each Utility has to provide an
Annual Report of Fault Statistics
BRAUNER AT Session 4

9. Fault Statistics in Austria
Voltage Dips (10 ms – 1 s) not valuated !
Short Interruptions (1 s – 3 min) not valuated !
Long Interruptions (> 3 min)
Only Long Interruptions are valuated
Non delivered energy
SAIDI and SAIFI per customer
Only Medium Voltage is valuated
BRAUNER AT Session 4

10. Who will use Fault Statistics ?
Regulator
Asset Management
Network Operation
Maintenance
Customer Relations
BRAUNER AT Session 4

11. Asset-Management and Regulation
Regulator
TQM
Investment
ROI
Fault
Statistics
Costs
Asset
Owner
Asset
Management
Service
Provider
Service Level Contract
Service Level Contract
BRAUNER AT Session 4

12. Maintenance Strategy relevance to fault statistics incidence based (x)
time based maintenance (x)
condition based maintenance x
life time based xx
forecast based xx
risc oriented xxx
BRAUNER AT Session 4

13. Future Trends in Fault Statistics
monitoring systems with flagging ?
evaluation internal and external influences ?
Statistics
Network statistic ?
Consumer Statistics ?
Component statistic ?
PQ Levels necessary (EN ?)
For PQ-regulation ?
For Asset Management and Planning ?
For system operation and maintenance ?
BRAUNER AT Session 4

14. Future Trends in PQ-Regulation
Annual publication by regulator
Bechmarking of Fault Levels
Independent PQ-Regulation ?
Incentives for PQ ?
Sanctions at low PQ-Standard ?
BRAUNER AT Session 4

15. Thank You for Your Audience !
BRAUNER AT Session 4