Artificial neuro-controllers for an isolated wind energy conversion scheme

摘要

This paper focuses on individual controller designs for an isolated wind electric generator supplying power to heating and voltage sensitive loads. The wind driven self-excited induction generator (SEIG) and other network components are modeled and simulated using Matlab/ Simulink. The variable voltage and frequency of a generator is first rectified and the DC power is then transferred to the load through a DC link converter. By adjusting the modulation index of the PWM inverter, maximum power can be obtained from the system and the terminal voltage can be maintained constant under varying wind velocities and load conditions. Design of two neuro controllers are proposed: 1) to maximize the power extraction from the wind turbine for heating loads and 2) to regulate the terminal voltage for voltage sensitive loads.