Dynamic State Estimation and Control of Power System

Abstract

The increasing global demand for clean and RE sources has led to the rapid development and deployment of wind turbine generators (WTGs). Among the various types of WTGs, the Doubly Fed Induction Generator (DFIG) has become particularly popular due to its advantages in controllability and efficiency. This research focuses on the application of the UKF for the estimation of DFIG systems under varying wind speed conditions, specifically in open-loop configurations. The DFIG system (open and closed loop) modeling has been thoroughly analyzed and solved, enabling a comprehensive understanding of the system's dynamic behavior. The dynamic performance of the DFIG system has been rigorously tested under various wind speed conditions to evaluate its stability and efficiency. A UKF has been designed for the estimation of the open-loop DFIG system, aiming to improve the overall performance of WECS. The results demonstrate that the UKF method exhibits excellent estimation capabilities for all state variables of DFIG system, contributing to enhanced system stability, performance, and reliability in the face of variable wind conditions.