Novel Application of Gradient-Based Optimizer for tuning a Fuzzy-PIDD2 controller for Load Frequency Stabilization

This article presents application of a new metaheuristic optimization algorithm known as Gradient-Based Optimizer (GBO) in tuning gains of fuzzy-PIDD² controller to alleviate the frequency oscillation when subjected to a load perturbation in an interconnected power system. To validate the present contribution, two models have been picked up for investigation, one comprising of a two-area linear thermal model having non-reheat characteristics and the other one consisting of a linear multi-source topology in a two-area environment. The controller developed in the present work has been compared with the control structures already published and is proved to be a better competitor. The criterion chosen for the Cost function for the optimization process is the integral of time multiplied absolute error (ITAE). This investigation reports that the GBO tuned Fuzzy-PIDD² controller yields improved dynamic responses in comparison to its counterparts in terms of performance attributes such as maximum undershoot, maximum overshoot and settling time. Further, a performance assessment is carried out in terms of robustness for the proposed controller with an application of typical load pattern characterizing the disturbance.