Fuzzy supervised PI controller for VSC HVDC system connected to Induction Generator based wind farm

TLDR: It is shown that the proposed controller performs effectively by adapting the gains based on fuzzy supervision, it stabilizes the network faster than a conventional PI controller and the peak overshoot is also reduced significantly.

Abstract: This paper proposes a fuzzy supervised PI controller for the Voltage Source Converter (VSC) HVDC system connected to an Induction Generator based wind farm, in parallel with an AC transmission line. It is shown that the proposed controller performs effectively by adapting the gains based on fuzzy supervision. It stabilizes the network faster than a conventional PI controller and the peak overshoot is also reduced significantly. A nonlinear full-scale model is developed in MATLAB, which is linearized to obtain a state space model. Eigenvalues and participation factors are calculated from the state space model for small signal stability studies. Singular Value Decomposition (SVD) theory is also applied to test the controllability of the inputs with respect to specific oscillatory modes. For the fuzzy supervised PI controllers, a rule base is generated from several system simulations and then the proposed controller is implemented through the Fuzzy Inference System (FIS) in MATLAB. The aggregated wind farm model is validated through PSCAD/EMTDC simulation.