Dynamic analysis of split-shaft microturbine for stand-alone and grid-connected mode of operation

Abstract

This paper presents the dynamic modeling of split-shaft microturbine generator (MTG) system. The studied model is consists of two proportional-integral-differential (PID) controllers, one is used as speed-controller while the other is as load-following controller. The gains of both the controllers have been optimized using a metaheuristic optimization algorithm named teaching learning based optimization (TLBO) for steady-state active power generation at nominal frequency. The parameters of both the controllers of the studied MTG system have been also optimized for both standalone and grid-connected modes of operations. The performance of the MTG system has been studied and analyzed for variable load demand conditions under standalone as well as grid-connected modes of operations. The study proves the capability of the split-shaft MTG system to generate electrical power at a nominal frequency under both the considered mode of operations.