A Novel Hybrid BFO-PS Optimized Fuzzy PID Controller for AGC of Interconnected Power System

The controller parameters of automatic generation control (AGC) system have a great impact on the dynamic performance of power system frequency control. The improper parameters of AGC controller may lead to a stability problem of grid frequency when a large load disturbance occurs. This will be even more serious in a high penetration of renewable energy power grid because of the lack of system inertia and regulation reserves. This paper presents a novel hybrid bacteria foraging optimization (BFO) and pattern search (PS) optimized fuzzy PID controller for AGC system of a two-area interconnected power system. The scaling factors of the fuzzy PID controller are optimized using the proposed hybrid BFO and PS (BFO-PS) optimization technique. The superiority of the proposed fuzzy PID controller has been shown by comparing the results with some recently published techniques for the same interconnected power system. Further, sensitivity analysis is carried out which demonstrates the ability of the proposed approach to wide changes in system parameters and operating load conditions.