| Abstract |
This paper describes the control strategy of a High Voltage Direct Current (HVDC) link based on Voltage Sourced Converters (VSC), which uses neuro-fuzzy logic, a combination of neural networks and fuzzy logic. Computational intelligence techniques, such as fuzzy logic, neural networks and genetic algorithms, are recently attracting many control design engineers in applications of power systems, as they do not need a detailed mathematical model of the system to be controlled, but just prior knowledge of the behaviour of the system. With an Adaptive, Neuro-Fuzzy Inference System (ANFIS), the link manages to feed a weak ac network with the power derived from a Wind Farm (WF) of induction generators, which is known to be a fluctuating and unstable power source. The system was studied under steady state and transient conditions using the simulation program PSCAD/EMTDC with the Fuzzy Logic toolbox of MATLAB. The results show that the system supplies efficiently the ac network with the power of the WF. Also, due to the ability of the control system to adjust the stator frequency of the induction generators in relation to the wind velocity, maximum power absorption of the WF is achieved. |
