Hvdc Controller Based On Fuzzy Neural Network Research

Based on the study of fuzzy logic control technology and Artificial Neural-network(NN) control technology and HVDC system, in principle, the quick controlling of converters can advance the dynamic behavior of AC/DC and steadiness of DC current and voltage. The rectifier and inverter correspondingly select the current and voltage of the DC line nearby their converter and rate ratio as input signals of fuzzy control, the output of fuzzy part as one of the input signals of neural-network. The simulation for a HVDC 12-pulse transmission system is carried out by traditional control method and fuzzy neural-network control method respectively by MATLAB. The simulation results show that compared with traditional control method when it happens grounding fault on the DC line or single-phase AC bus, the fuzzy neural-network control can improve the steadiness of DC current and voltage in converter substation and the transient stability of AC-DC system is enhanced too. Finally, The simulation results also show that the effect controlled by fuzzy neural-network both in rectifier and inverter is better than by one of them.