Voltage Control of Compensated Self-Excited Induction Generator using Genetic Algorithm

Analysis of self-excited induction generator reveals that these machines are not capable to maintain the terminal voltage and frequency in the absence of expensive controllers. A simple way to control the voltage is through series compensation whereas frequency control is possible through operating speed. In this paper Genetic Algorithm has been used to model the control strategy for proper reactive compensation under different operating conditions. A new methodology is proposed to estimate the values of shunt and series excitation capacitance to maintain the terminal and load voltage. Simulated results as obtained from the proposed control technique have been verified using experimental results on a test machine. Closeness between simulated and experimental results confirms the validity of proposed model.