BFOA based design of PID controller for two area Load Frequency Control with nonlinearities

• BFOA is proposed to tune the parameters of PID controller for nonlinear LFC problem.
• A two area power system is considered to demonstrate the proposed method.
• BFOA is employed to search for optimal controller parameters.
• The effectiveness of the proposed controller in damping oscillations is validated.

This paper presents an application of the novel artificial intelligent search technique to find the parameters optimization of nonlinear Load Frequency Controller (LFC) considering Proportional Integral Derivative controller (PID) for a power system. A two area non reheat thermal system is considered to be equipped with PID controller. Bacterial Foraging Optimization Algorithm (BFOA) is employed to search for optimal controller parameters to minimize the time domain objective function. The performance of the proposed technique has been evaluated with the performance of the conventional Ziegler Nichols (ZN) and Genetic Algorithm (GA) in order to demonstrate the superior efficiency of the proposed BFOA in tuning PID controller. By comparison with the conventional technique and GA, the effectiveness of the proposed BFOA is validated over different operating conditions, and system parameters variations.