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Explore fault statistic indices, network statistics, consumer statistics, and more. Learn how fault statistics impact PQ regulation and asset management. Discover the importance of flagging faults for system maintenance and operation. Uncover future trends for monitoring systems, internal and external influences evaluation, and PQ levels. Stay informed about benchmarking fault levels, independent PQ regulation, and incentives for maintaining PQ standards.
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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
Fault Statistic Indices • Component Statistics • Component type (transformer, breaker, line…) • Manufacturer • Condition (age, loading, no. of operations…) • Fault type (mechanical, electrical, electronic…) • Maintenance history … • ….
Reason for Faults • unplanned external (causes:lightning, storm, digging. . .) • unplanned internal (causes: ageing, mal operation) • planned (maintenance, reconstruction)
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
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
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
Who will use Fault Statistics ? • Regulator • Asset Management • Network Operation • Maintenance • Customer Relations
Asset-Management and Regulation Regulator TQM Investment ROI Fault Statistics Costs Asset Owner Asset Management Service Provider Service Level Contract Service Level Contract
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
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 ?
Future Trends in PQ-Regulation • Annual publication by regulator • Bechmarking of Fault Levels • Independent PQ-Regulation ? • Incentives for PQ ? • Sanctions at low PQ-Standard ?