Metody inteligentne w automatyce zabezpieczeniowej

• Autorzy: Rebizant W.

Warianty tytułu

EN

Intelligent methods in power system protection

• Języki publikacji: PL

Abstrakty

PL

W pracy przedstawiono idee i szczegółowe rozwiązania układów pomiarowych i decyzyjnych cyfrowych zabezpieczeń elektroenergetycznych, wykorzystujące zasady adaptacyjności oraz techniki inteligentne. W rozdziałach wstępnych nakreślono podstawowe cechy układów adaptacyjnych i inteligentnych oraz wskazano na istniejące i potencjalne obszary zastosowań obu rodzin algorytmów. Szczegółowo opisano opracowane przez autora układy adaptacyjnego pomiaru wielkości kryterialnych zabezpieczeń z dopasowaniem do aktualnej wartości częstotliwości oraz adaptacyjnego zabezpieczenia różnicowego generatora z bieżącą zmianą stabilizacji do warunków potencjalnego nasycenia przekładników prądowych podczas bliskich zwarć zewnętrznych. Techniki inteligentne, tj. sztuczne sieci neuronowe i układy wnioskowania rozmytego, zastosowano do zabezpieczenia generatora synchronicznego przed poślizgiem biegunów i utratą synchronizmu, uzyskując poprawę selektywności oraz znaczne przyspieszenie procesu podejmowania decyzji. Do projektowania klasyfikatorów neuronowych zaadaptowano zasady optymalizacji genetycznej, przez co otrzymano struktury sieci neuronowych o małej liczbie neuronów, cechujące się łatwością generalizacji zdobytej w procesie uczenia wiedzy.

EN

General ideas of intelligence and adaptivity as applied for protection problems as well as detailed solutions of the developed measurement and decision-making units are described. Main features of the adaptive and intelligent neural and fuzzy reasoning systems are provided, followed by some examples of their existing and potential application areas in protective relaying. In detail two examples of adaptive procedures for wide-frequency band measurements of a number of criterion values and decision-making in the generator differential protection with adaptive stabilisation for CT saturation conditions are presented. The intelligent techniques, i.e. artificial neural networks and fuzzy inference systems have been applied to generator protection against out-of-step and loss of synchronism, which brought about improved selectivity and speed of the decision-making. The design of neural classifiers was based on the principles of genetic optimisation, the effect of which were ANN structures consisting of very small number of neurones, having a feature of good generalisation of the knowledge acquired during network training.

Słowa kluczowe

PL

elektroenergetyka; automatyka zabezpieczeniowa; pomiar cyfrowy; podejmowanie decyzji; układy inteligentne; adaptacja; sztuczne sieci neuronowe; układy rozmyte

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Prace Naukowe Instytutu Energoelektryki Politechniki Wrocławskiej. Monografie
• Rocznik: 2004
• Tom: Vol. 93, nr 29
• Strony: 1--168
• Opis fizyczny: Bibliogr. 130 poz.

Twórcy

autor

Rebizant W.

• Instytut Energoelektryki Politechniki Wrocławskiej, 50-370 Wrocław, Wybrzeże Wyspiańskiego 27.

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