Dynamic Modeling and Stability Study of Microturbine with PMSG in Distributed Generation

Abstract

Distributed generation (DG) is attracting more attention recently as an alternative to large centralized generation plants, driven by the rapidly evolving deregulation environments. Among the different sources of DG, the microturbine generation (MTG) system has a good record of improving the system stability, reliability and power quality. This thesis is aimed on the dynamic performance enhancement of a permanent-magnet synchronous generator (PMSG) based MTG system connected to a distribution system through an AC-to-DC converter and a DC-to-AC inverter. The switching parameters for the converter and inverter are controlled by PI controllers and the controller parameters are selected using Genetic Algorithm. The overall dynamic model is presented in the synchronously rotating reference frame dq-axis. Simulations of the studied MTG are carried out using MATLAB