Automatic generation control of power system in deregulated environment using hybrid TLBO and pattern search technique

In the present work, a hybrid Teaching Learning Based Optimization and Pattern Search (hTLBO-PS) technique with Tilted Integral Derivative (TID) controller is suggested for Automatic Generation Control (AGC) under deregulated environment. In the beginning, a two-area four units thermal-gas system is assumed and Tilted Integral Derivative (TID) controller is employed. The superiority of hTLBO-PS based TID is illustrated by comparing the published results with Genetic Algorithm (GA) and Differential Evolution (DE) tuned I/PI/PID controllers for the identical test scheme. After that the suggested methodology is extended to 2-area with 6-units power system by considering the non-linearities parameters. Additionally, to improve the performance of the system, a Thyristor Controlled Phase Shifter (TCPS) is connected in the tie-line and Superconducting Magnetic Energy Storage (SMES) devices are considered in each area. Finally, the sensitivity analysis of proposed method with perturbation in plant parameters has been analyzed. (C) 2019 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams University.