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Methods of high impedance fault detection in overhead electric power lines
Języki publikacji
Abstrakty
Praca poświęcona jest algorytmom wykrywania zwarć wysokooporowych występujących w przesyłowych i rozdzielczych napowietrznych liniach elektroenergetycznych. W pierwszej części monografii zestawiono stosowane metody zabezpieczania linii elektroenergetycznych oraz podano przyczyny ich ograniczonej czułości na zwarcia małoprądowe. Omówione zostały zagadnieniu realizacji zabezpieczeń różnicowoprądowych linii przesyłowych z cyfrowym łączem komunikacyjnym. Przedstawiono metody poprawy czułości tego typu rozwiązań. Zaproponowano nową metodę estymacji opóźnienia przesyłu danych zabezpieczeniowych z przeciwległego końca chronionej strefy oraz przedstawiono admitancyjny algorytm detekcji zwarć wysokooporowych na liniach przesyłowych. Zaproponowano nowe algorytmy wykrywania zwarć wysokooporowych w sieciach rozdzielczych średniego napięcia, w których wykorzystano transformatę falkową sygnałów zabezpieczeniowych oraz technikę sztucznych sieci neuronowych. Zaprezentowano nowe, dedykowane dla konkretnych zadań struktury sztucznych sieci neuronowych z realizacją wewnętrznej operacji mnożenia sygnałów oraz przedstawiono przykładowy algorytm uczenia takich struktur neuronalnych. Skuteczność proponowanych metod wykazano, korzystając z wielu przypadków modelowanych zwarć z wykorzystaniem pakietu programowego Altemative Transients Program - Electromagnetic Transients Program (ATP-EMTP).
Methods o f high impedance fault detection in overhead transmission and distribution electric power lines have been presented and discussed. Principles o f electric line protections and causes of their limited sensitivity to low current faults have been given. Digital differential and admittance transmission line protections have been presented. Some possible ways o f improving the dependability have been proposed. A method of capacitive charging current compensation for transmission line protection has been proposed and the new approach to estimation o f digital data transmission delay for differential line protection purposes has been presented. A new approach to detection o f high impedance faults in MV distribution lines based on wavelet transform and artificial neural networks is presented. In the approach, new dedicated structures o f artificial neural networks with the internal multiplication operation of the signals have been used. A suitable training algorithm is presented as well. The effectiveness of the approaches proposed has been shown taking advantage o f data obtained from computer modeling o f numerous fault cases with the use o f Alternative Transients Program - Electromagnetic Transients Program (ATP-EMTP).
Rocznik
Tom
Strony
148--148
Opis fizyczny
Bibliogr. 117 poz., rys., tab.
Twórcy
autor
- Instytut Energoelektryki Politechniki Wrocławskiej, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław.
Bibliografia
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