Fault diagnosis and identification in the distribution network using the fuzzy expert system

Kaluđer, S.; Fekete, K.; Jozsa, L.; Klaić, Z.

doi:10.17531/ein.2018.4.13

Artykuł - szczegóły

Tytuł artykułu

Fault diagnosis and identification in the distribution network using the fuzzy expert system

Autorzy

Kaluđer S. , Fekete K. , Jozsa L. , Klaić Z.

Treść / Zawartość

Pełne teksty:

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Identyfikatory

DOI

10.17531/ein.2018.4.13

Warianty tytułu

Identyfikacja i diagnoza błędów w elektroenergetycznej sieci rozdzielczej z wykorzystaniem rozmytego systemu eksperckiego

Języki publikacji

Abstrakty

In this paper, a fuzzy expert off-line system has been developed for fault diagnosis in the distribution network based on the structural and functional operation of the relay and circuit breakers. Functional operations (correct operation, false operation and failure to operate) of the relays and circuit breakers are described by fuzzy logic. Input data for the proposed fuzzy expert fault diagnosis system (FDS) are status and time stamps of the alarms, associated with relays and circuit breakers. The diagnostic system from a huge number of alarms sets, logically organizes and quantifies the diagnosis. FDS can diagnose correct operation, false operation and failure to operate of the relays and circuit breakers. Also, it can identify and quantify fault location based on the Hamacher’s operator of a fuzzy union. The additional contribution of this paper is in modeling unknown information using linear fuzzy membership function. Statuses of certain components may be unknown due to telemetry failures or are simply unavailable to the operator and proposed FDS can make diagnosis in such a situation. Developed fuzzy expert FDS is tested on the two examples of faults in real life distribution network.

W prezentowanym artykule opracowano rozmyty system ekspercki typu off-line do diagnozowania błędów w elektroenergetycznej sieci rozdzielczej. System bazuje na strukturze i działaniu przekaźnika i wyłączników automatycznych. Działanie (prawidłowe działanie, błędne działanie i brak działania) przekaźników i wyłączników opisano za pomocą logiki rozmytej. Dane wejściowe do proponowanego rozmytego eksperckiego systemu diagnostyki błędów (FDS) stanowią stany i sygnatury czasowe alarmów, związane z przekaźnikami i wyłącznikami. System diagnostyczny logicznie porządkuje i określa ilościowo diagnozę na podstawie ogromnej liczby zestawów alarmów. FDS pozwala zdiagnozować prawidłowe działanie, błędne działanie oraz awarię (brak działania) przekaźników i wyłączników. Ponadto umożliwia identyfikację i lokalizację błędów w oparciu o sumę Hamachera. W artykule dodatkowo omówiono metodę modelowania informacji nieznanych przy użyciu liniowej funkcji przynależności dla zbiorów rozmytych. Stany niektórych elementów mogą być nieznane z powodu awarii telemetrii lub mogą być po prostu niedostępne dla operatora. Proponowany FDS umożliwia postawienie diagnozy w takich sytuacjach. Opracowany rozmyty ekspercki FDS testowano na dwóch przykładach błędów powstałych w funkcjonującej sieci rozdzielczej.

Słowa kluczowe

fault diagnosis alarm processing fuzzy logic expert system distribution network

diagnoza błędów przetwarzanie alarmów logika rozmyta system ekspercki sieć rozdzielcza

Wydawca

Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne

Czasopismo

Eksploatacja i Niezawodność

Rocznik

2018

Tom

Vol. 20, no. 4

Strony

621--629

Opis fizyczny

Bibliogr. 38 poz., rys.

Twórcy

autor

Kaluđer S.

slaven.kaluder@gmail.com

HEP ODS Elektroslavonija Osijek Cara Hadrijana 3, 31000 Osijek, Croatia

autor

Fekete K.

kresimir.fekete@ferit.hr

Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering, Computer Science and Information Technology Osijek Kneza Trpimira 2B 31000 Osijek, Croatia

autor

Jozsa L.

jozsa.lajos@ferit.hr

Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering, Computer Science and Information Technology Osijek Kneza Trpimira 2B 31000 Osijek, Croatia

autor

Klaić Z.

zvonimir.klaic@ferit.hr

Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering, Computer Science and Information Technology Osijek Kneza Trpimira 2B 31000 Osijek, Croatia

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