Fault Statistics – Quo Vadis Günther Brauner AT

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Presentation transcript:

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

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

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

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

MV-Fault Statistic is significant BRAUNER AT Session 4

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

Monitoring and Flagging of Faults BRAUNER AT Session 4

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

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

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

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

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

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 ? BRAUNER AT Session 4

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

Thank You for Your Audience ! BRAUNER AT Session 4