Detection of Large Signal Disturbances by Least Square Estimation Technique

Abstract

In power system, there are several factors which can cause severe disturbance in the system, like fault occurrence, over loading etc. These faults need to be detected and rectified in minimal time to get the system in steady state. In this project, our aim was to detect all those large disturbances present in the system which can cause instability and malfunction of the power system. For these we have performed dynamic simulation of the IEEE 9 bus system and then the stream of voltage magnitudes obtained during dynamic simulation are used to get the best estimated value and by the help of least square estimation technique the disturbance are detected whether it is large disturbance or small disturbance. For these we first have performed the steady state analysis of given IEEE 9 bus system by Newton Raphson’s method and then we have done the dynamic simulation of given IEEE 9 bus system and solved the swing equations in two different cases first for no fault in the system and second by considering a 3 phase symmetrical fault in the system by Modified Euler’s method. By these we get the voltage profile for each buses and with the help of these voltage profile the detection of large signal disturbance has been done by the least square estimation technique and we got the simulation result on the basis of that we can observe the presence of large disturbances in the system.