Abstract:
This paper presents computationally simple and accurate expert system for fault identification of HVDC Converter and Control of HVDC system. Adaptive Neuro-Fuzzy Inference System (ANFIS) is applied and discussed in detail. Instead of using separate fault identifier for each valve, an integrated fault identifier is developed which is effective for complete bridge Converter. Fault identifiers are tested for HVDC with strong and weak ac sides. Fault identification methods are applicable in both inversion and rectification mode. ANFIS based current control is also developed for a HVDC system. Several digital simulation results are presented to validate the procedure outlined in the paper. ANFIS based control can be easily combined with the fault identifier to form integrated
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