Reduced order modelling and controller design of different power system models using grey wolf optimizer

Abstract

This dissertation work deals with the order reduction and controller design of different power system models using grey wolf optimizer (GWO). The order reduction is carried out using a mixed method. The denominator polynomial of the reduced system is obtained through the stability equation method (SEM) while the numerator polynomial is determined using GWO, thus yielding a mixed technique GWO-SEM. The order reduction takes into account into dc gain matching, stability, and minimum phase as constraints. Test systems considered for model order reduction were load frequency control (LFC) two area power system, automatic voltage regulator (AVR) and single machine infinite bus (SMIB) system. Standard and latest heuristic algorithms were considered for comparison. The GWO-SEM method outperforms the techniques available in the literature on most occasions. Further, GWO is applied for the controller design of these power system models using approximate model matching (AMM) technique.