Thesis Proposal for UPFC Damping Controller with Advanced Algorithm Implementation

This document presents a comprehensive thesis proposal for developing an advanced Unified Power Flow Controller (UPFC) damping controller. The UPFC damping controller serves as a critical component in power system stability control, responsible for mitigating low-frequency oscillations and enhancing dynamic performance. The core contribution of this research involves implementing a novel adaptive control algorithm that continuously monitors power system operating conditions through real-time parameter estimation. The algorithm employs system identification techniques to detect changes in network topology and load patterns, enabling automatic controller parameter adjustments using optimization routines such as genetic algorithms or particle swarm optimization. The thesis provides detailed analytical comparisons between conventional PID-based controllers and the proposed adaptive approach, highlighting limitations of fixed-parameter controllers under variable system conditions. Implementation considerations include MATLAB/Simulink modeling of the control logic, with key functions handling phasor measurement unit (PMU) data acquisition and oscillation mode analysis. The validation methodology incorporates electromagnetic transient (EMT) simulations testing controller performance under different fault scenarios and load variations. Comparative results demonstrate the enhanced damping capability and robustness of the proposed algorithm through eigenvalue analysis and time-domain simulation metrics.