An adaptive neural fuzzy virtual inertia control method for VSC-HVDC system

Compared to conventional DC transmission, Voltage source converter based high voltage direct current transmission (VSC-HVDC) has the advantages of independently controllable power, no commutation failure, reactive power compensation and low harmonic levels. However, VSC-HVDC cannot provide effective frequency support regulation for system after grid connection. For this reason, an adaptive neural fuzzy virtual inertia control method is proposed impose a strategy on at receiving end transmission. The uses change rate amount as constraints dynamically adjust damping coefficients. It provides larger inertial when fluctuation large smaller small, thus adapting different operating conditions. Finally, hardware-in-the-loop simulation platform built. superiority application prospect in stability are verified by comparing with traditional strategy.