A State of Art Literature Survey on Different Fault & Condition Monitoring of HVDC System Using Neuro-Fuzzy S & ANN Approach

Abstract: This paper presents an accurate system for condition monitoring and fault identification of HVDC converter using ANFIS and ANN. Here integrated fault identifier is used instead of neural network control. An integrated fault identifier is effective for complete bridge converter. Fault identification methods are applicable in both inversion and rectification modes. ANFIS based current controller is developed for a HVDC system. ANFIS based control can be easily combined with the fault identifier to form integrated system which can improve the dynamic response of HVDC system.

Keywords: ANFIS, ANN, HVDC converter, fault diagnosis, HVDC control.