Loss Minimization in Parallel & Series Induction Heating Inverters Using Genetic Algorithm

In this paper induction heating system is modeled and effective factors on induction heater system losses are represented. Respective to the intensive importance of capacitor losses and its potential ability of being harmful, furnace parameters must be designed in a way to minimize capacitor losses and maximize the transmitted power into the load. The effective parameters are the number of turns of work coil and the value of capacitor used for power factor correction. In this paper the optimal capacitance is calculated by the use of genetic algorithm to minimize the capacitance losses and maximize the transmitted power into the load for induction heaters with series and parallel resonances. Furthermore, the effect of capacitance change on the load and impedance matching transformer impedances are considered theoretically and experimentally. Key-word: Induction Heating, Capacitor loss, Optimization, Genetic algorithm, Modeling, Frequency changes