Abstract
Background: This paper presents a novel approach to design and optimize Proportional-Integral-Derivative (PID) controller for Automatic Generation Control (AGC) of two-area interconnected power system with different energy sources. Methods: The two area interconnected power system consists of thermal, hydro and wind energy sources in the area-1 and area-2 comprises thermal, hydro and diesel energy sources. The recently developed Jaya Optimization technique is explored to optimize PID controller parameters for the interconnected power system by Matlab. Findings: The dynamic responses of power system is studied including the non-linearities like Governor Dead band (GDB), Generation Rate Constraint (GRC) and boiler dynamics under 1% step load perturbation. Novelty and applications The beauty of Jaya algorithm is that it works with only few control parameters as compared with other algorithms which help in improving dynamic responses and performance values of power system with non-linearities. Hence, the frequency stability is achieved at faster convergence at loads. The comparative analysis of proposed technique with other techniques like Differential Evolution (DE) algorithm and Teaching Learning Based Optimization (TLBO) algorithm for the same power system justify the effectiveness of proposed approach. Keywords: Automatic Generation Control; PID Controller; Nonlinearities; Renewable Sources; Jaya Algorithm
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