Design of Fuzzy Power System Stabilizer to Improvement MG dynamic

Abstract

This study compares a controller based on fuzzy power system stabilizer (FPSS) with the complementary power system stabilizer (CPSS) for a microgrid (MG) containing an Induction Motor (IM)- Diesel Machine (DM) - Governor (GV)- Photovoltaic (PV) (IDGP). Furthermore, the linear Heffron-Phillips model is developed for MG.  Using the traditional stabilizer, an specific range is calculated for changes in the MG input parameters, and a Fuzzy logic controller is designed to achieve a good performance in this wide range with a high damping ratio. The simulation results of the IDGP state space model reveals that the fuzzy logic stabilizer has an excellent ability in enhance damping torque of MG dynamic, with a linear model. The small signal stability analysis of the IDGP system has been completed with oscillatory mode trajectory and Heffron-Phillips model. In this paper the control of the voltage source converter is done using sliding mode concept. It should be noted that efficiency of the proposed controllers on damping of critical modes was examined through time domain.