Ant Lion Optimized Fractional Order Fuzzy Pre-Compensated Intelligent Pid Controller for Frequency Stabilization of Interconnected Multi-Area Power Systems

摘要

Load frequency control (LFC) is considered to be the most important strategy ininterconnected multi-area power systems for satisfactory operation and distribution. In order totransfer reliable power with acceptable quality, an LFC mechanism requires highly efficacy andintelligent techniques. In this paper, a novel hybrid fractional order fuzzy pre-compensated intelligentproportional-integral-derivative (PID) (FOFP-iPID) controller is proposed for the LFC of a realisticinterconnected two-area power system. The proposed FOFP-iPID controller is incorporated into thepower system as a secondary controller. In doing so, the parameters of the suggested FOFP-iPIDcontroller are optimized using a more recent evolutionary computational technique called the Antlion optimizer (ALO) algorithm utilizing an Integral of Time multiplied Absolute Error (ITAE) index.Simulation results demonstrated that the proposed FOFP-iPID controller achieves better dynamicsperformance under a wide variation of load perturbations. The supremacy of the proposed FOFP-iPIDcontroller is demonstrated by comparing the results with some existing controllers, such as fractionalorder PID (FOPID) and fractional order intelligent PID (FOiPID) controllers for the identical system.Finally, the sensitivity analysis of the plant is examined and the simulation results showed thatthe suggested FOFP-iPID controller is robust and performs satisfactorily despite the presence ofuncertainties.