ANFIS Based Hvdc Control and Fault Identification of HVDC Converter

Identifying errors in HVDC converter and controlling HVDC system is presented in my paper. The easy and exact connoisseur system is neatly presented applying ANFIS (Acclimatized Neuro-Fuzzy Inference system. In both inversion and rectification mode faults are being identified when high voltage direct current with strong ac side and high voltage direct current with weak ac sides are available and incorporated fault identifier is developed replacing the old system of using individual error identifier in complete bridge converter. The conventionally used controller is PI which are in the existing HVDC systems is clearly operating good, they are prone to changes in system limits, holdups or other non-linearities in the system and endure from some limitations. ANFLBI and ANFLBC are the fuzzy logic supported error identifier and current controller respectively. ANFIS controller can function independently with arithmetical replica of the system and controlled input under interruption condition can be obtained without difficulty. My proposed system is easily combinable with error identifier, which can perk up active response of HYDC system. Quite a lot of digital replication results are obtainable to authenticate the process sketched in the paper.