A FUZZY BASED ASSESSMENT OF CAPACITOR EXCITED INDUCTION GENERATOR PERFORMANCE

Abstract

The increasing importance of fuel saving, and the fast depletion of conventional energy resources is responsible to search for every other source of alternative energy. A higher emphasis is given to non-conventional and renewable energy resources such as wind energy, bio-gas, solar, micro-hydro, etc. The induction generators are being considered as an alternative choice to the well-developed synchronous generators for non-conventional sources because of their lower unit cost, rugged structure, and simplicity in maintenance. The induction generator's ability of self excitation by shunt capacitance is increased its use in remote and hilly areas. This dissertation presents a fuzzy technique for the modeling of series compensated capacitor excited induction generator (short shunt). The rules of fuzzy system are composed by the data obtained from analytical method (iterative method). The steady state performances under different operating conditions are studied and explained the methodology for choosing appropriate values of series and shunt capacitors for voltage regulation. With short shunt connection of capacitor excited generator, the load voltage dips at low load condition. To improve load voltage at low power outputs, method of ballast load which switching is done by fuzzy logic controller, is explained. The proposed system is simulated in MATLAB 6.5 and results are analyzed. III