Neuro-fuzzy Control in Biomass-based Wind-diesel Systems

This paper deals with the development of a neuro-fuzzy controller for a wind-diesel system composed of a stall regulated wind turbine with an induction generator connected to an ac busbar in parallel with a diesel-generator set having a synchronous generator. A gasifier is capable of converting tons of wood chips per day into a gaseous fuel that is fed into a diesel engine. The controller inputs are the engine speed error and its derivative for the governor part of the controller, and the voltage error and its derivative for the automatic voltage regulator. It is shown that by tuning the fuzzy logic controllers, optimal time domain performance of the autonomous wind-diesel system can be achieved in a wide range of operating conditions compared to a fixed parameters fuzzy logic controllers and PID controllers.