Fault Statistics

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Fault Statistics Quo VadisGünther Brauner AT
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Fault Statistic Indices

• Network Statistics
• Voltage Dips (10 ms 1 s)
• Short Interruptions (1 s 3 min)
• Long Interruptions (gt 3 min)
• Consumer Statistics
• Non delivered energy
• SAIDI and SAIFI per customer

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Fault Statistic Indices

• Component Statistics
• Component type (transformer, breaker, line)
• Manufacturer
• Condition (age, loading, no. of operations)
• Fault type (mechanical, electrical, electronic)
• Maintenance history
• .

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Reason for Faults

• unplanned external
• (causes lightning, storm, digging. . .)
• unplanned internal
• (causes ageing, mal operation)
• planned
• (maintenance, reconstruction)

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MV-Fault Statistic is significant
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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

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Monitoring and Flagging of Faults
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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

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Fault Statistics in Austria

• Voltage Dips (10 ms 1 s) not valuated !
• Short Interruptions (1 s 3 min) not valuated
  !
• Long Interruptions (gt 3 min)
• Only Long Interruptions are valuated
• Non delivered energy
• SAIDI and SAIFI per customer
• Only Medium Voltage is valuated

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Who will use Fault Statistics ?

• Regulator
• Asset Management
• Network Operation
• Maintenance
• Customer Relations

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Asset-Management and Regulation
Regulator
Fault Statistics Costs
TQM Investment ROI
Asset Owner
Asset Management
Service Provider
Service Level Contract
Service Level Contract
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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

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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 50160 ?)
• For PQ-regulation ?
• For Asset Management and Planning ?
• For system operation and maintenance ?

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Future Trends in PQ-Regulation

• Annual publication by regulator
• Bechmarking of Fault Levels
• Independent PQ-Regulation ?
• Incentives for PQ ?
• Sanctions at low PQ-Standard ?

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Thank You for Your Audience !