Application of optimization control based on RBF neural network in VSC-HVDC

An appropriate operating principle of voltage source converter based high voltage direct current (VSC-HVDC) is able to further affect the sensitivity to voltage unbalance. The new HVDC system based on voltage source has broadened application prospect for its beneficial characteristics compared with the traditional DC transmission system. In the paper, a simple and effective simulation model of VSC-HVDC system is presented to improve the dynamic performances. The traditional PI controller of the two-level VSC-HVDC system is implemented, and then an optimal controller based on the radial basis function (RBF) neural network is designed to further control VSC-HVDC system. The simulation results show that the optimized controller based on the radial basis function can effectively optimize the control parameters of the VSC-HVDC system, and the response characteristics of the system are better than before.