A Novel Fuzzy Adaptive Jaya Optimization for Automatic Generation Control in Multi-Area Power System

This paper presents a -fuzzy adaptive Jaya optimization algorithm (FAJOA) with integrating an algorithm-specific parameter in the original Jaya algorithm (OJA). A Takagi-Sugeno (TS)-fuzzy is implemented for dynamically adapting the weight parameter (w) of the FAOJA for improving the search performances such as faster convergence and realization of the optimal solution. Different benchmark functions are chosen as the test functions to examine the proficiency of the FAJOA. The same FAJOA has applied to accomplish the optimum values of the cascaded PI-PD controller parameters for augmenting the load frequency control (LFC) performance. In this paper, an interconnected two-area thermal-hydro based power system is investigated for the analysis. It is observed that the suggested FAJOA improves the dynamics of the LFC in each area and tie-line power flow of the power system. As well, the results demonstrate that the proposed FAJOA is comparatively superior to some of the existing optimization algorithms.