EXCITATION CONTROL OF SYNCHRONOUS GENERATOR USING NEURAL NETWORK

Abstract

Advanced power systems are complex and non-linear, and their operation can change to a wide extent [1]. Synchronous generator is at core of power system, and it is necessary to maintain reliable operation throughout. This paper presents the excitation control of the synchronous generator with the application of a neural network-based controller. Ordinary excitation control strategies have a slower reaction to non-linearities happening within the excitation system [2]. Executing Neural Network based controller(NNC) decreases reaction time showing strong steadiness [3].. Terminal voltage and current is nourished to the input of neural network and is processed to give reference current as output which then is converted into reference voltage and is used to produce duty cycle of thyristor by comparing it with varying field current. The neural network-based controller will sense the deviation of voltage and based on necessities, give the gating command to thyristor valves and in this manner acting quickly to the dynamics of the power system