Automatic generation control of a hybrid power system in deregulated environment utilizing GA, DE and CA tuned PID controller

In recent years the power scenario has gone through a major overhaul with the deregulation of electricity market and introduction of renewable sources into the system. Automatic generation control (AGC) is one of the important ancillary services present in the power system. This work represents an automatic generation control scheme for an interconnected three area hybrid power system in deregulated environment. Proposed scheme utilizes a classical Proportional-Integral-Derivative (PID) controller whose gain parameters Kp, Ki, Kd are tuned by Integral Square Error (ISE) control strategy using Genetic Algorithm (GA), Cultural Algorithm (CA) and Differential Evolution (DE). A comparative study of dynamic response for frequency and tie-line confirms the superiority of cultural algorithm. In this work MATLAB/SIMULINK is used as a simulation tool.