DESIGNING PID CONTROLLER USING SSA FOR INTERCONNECTED THERMAL POWER SYSTEMS.

This article presents a method of designing an optimal Proportional-Integral-Derivative (PID) controller for Automatic Generation Control (AGC) of a two-area interconnected thermal system. In addition, an application of Salp Swarm Algirithm (SSA) in order to design PID controllers is proposed. A method inspired by salp foraging behavior. The journey of the Salp group in the sea, by random the population of the salp and separated into leader salp and follower salp. The leader moves towards the food source and the rest of the followers follow the salp positioned in front of themselves. The parameters of PID were achieved by trial and error methods by designers. As an interconneted thermal power system with a Governor Deadband (GDB) is nonlinear and dynamic system, the Integral Squared Error (ISE) criterion has been used as objective function to find optimum controller gain. In order to solve this problem, SSA is proposed to concurrently tune PID gains of the PID controllers to minimize frequency deviations and tie-line power deviations by simulation the interconnected thermal power system. Compare of tuning PID controller from each optimization technique SSA and PSO. Simulation results clearly show that the performance of the system after taking SLP into the interconnected thermal power system that tuning by SSA and PSO and the robustness of the optimal PID controllers are superior to the conventional PID controllers in terms of settling time (-10.46 % in area 1, +0.87 % in area 2 and +0.57 % in power tie-line), overshoot (-10.61 % in area 1 and -10.87 % in area 2) that obtain by (SSA) method less value than the value that obtain by (PSO) method and the power tie-line. Integral Absolute Error (IAE) (-0.38 %) that obtain by (SSA) few errors. Comparisons to the tuned with Particle Swarm Optimization (PSO) approaches is also included. [ABSTRACT FROM AUTHOR]