Optimization based steady-state analysis of switched power electronic systems

This paper introduces an optimization based approach towards steady-state analysis of switched power electronic systems. The convergence performance of the optimization is improved by the estimation of the state variables in steady-state. Accurate state variable estimation can be achieved by previously simulating a set of multi-resolution approximations - averaged models of the original topological model using generalized averaging technique. An unified harmonic state space representation for a wide class of power electronic systems is presented to allow automatical generation of the averaged models with selective approximation accuracy. The proposed approach that has been implemented in Dymola is demonstrated by a pulse width modulated buck converter.