Frequency Management of an Interconnected Power System using Modified Differential Evolution Algorithm

Abstract

In recent decades, microgrid systems have included renewable energy sources due to insufficient power generation. However, uncertainty in the output of renewable sources and load change have an effect on the system frequency, affecting the microgrid's ability to operate reliably. For continuous electric power, an intelligent controller is essential to improve system stability. This paper proposes the construction of a cascaded Modified Differential Evolution (MDE)-based PIDFN controller utilizing ITAE. The suggested MDE tune PIDFN controller is compared to IPD-(1+I) and PI controller to illustrate its robustness and effectiveness. Implementation of an MDE-based cascaded PIDFN controller for frequency regulation in a two-area linked microgrid system. In a MATLAB®/SIMULINK environment, the system is validated across load perturbations, system uncertainties, communication latency, real-time data on solar irradiance and wind speed, and the action of UPFC. The effectiveness of the MDE-PIDFN controller is also analyzed statistically.