Power Oscillation Damping Using for the Control of Multi Machine and Bus System

This project proposes a novel objective function and algorithm to obtain a set of optimal power system stabilizer (PSS) parameters that include a feedback signal of a remote machine and local and remote input signal ratios for each machine in a Multi-machine power system under various operating conditions. A novel function called the damping scale is proposed and formulated as an objective function to increase system damping after the system undergoes a disturbance. The control performance is evaluated and compared with other control schemes using eigen value analyses and nonlinear time-domain simulations over a wide range of operating conditions, for example, severe system faults, outage contingencies, load/generation shedding, and line tripping. Additionally, three existing objective functions of the damping factor, damping ratio, and a combination of the damping factor and damping ratio were analyzed and compared with the proposed objective function. In this project we propose a method to identify the dynamic behavior using SA algorithm. The various coefficients obtained from SA global optimization problem are given as an input to the controller block. The paper presents a supplementary VSC-HVDC Power Oscillation Damping (POD) controller based on wide area measurement signals (WAMS). The parameters are obtained through the SA algorithm. The effectiveness and robustness of the proposed approach over a wide range of loading is tested under various conditions and disturbances.