Evolutionary Algorithm Based LFC of Single Area Thermal Power System with Different Steam Configurations and Non-linearity

Abstract

Load Frequency Control (LFC) of single area thermal power system is presented in this work. Commonly used industrial Proportional-Integral-Derivative (PID) controller is considered as a supplementary controller and parameters are optimized by using evolutionary algorithm (Ant Colony Optimization (ACO)). Three cost functions are considered to optimize controller gain values. Such as, Integral Absolute Error (IAE), Integral Time Absolute Error (ITAE) and Integral Square Error (ISE) and also three different stem configurations (Non Reheat turbine, Single Stage Reheat turbine and Double stage reheat turbine) are considered in this work. Further the performance of proposed algorithm is proved by adding non-linearity (Generation Rate Constrain, Governor Dead Band and Boiler Dynamics) into the same power system and value of Step Load Perturbation (SLP) in all three steam configurations. Time domain analysis is used to study the performance of power system with different scenarios.