Design and analysis of the performance of multi-source interconnected electrical power system using resilience random variance reduction technique

The increasing demand for electricity and global attention to the environment has led energy planners and developers to explore developing control techniques for energy stability. The primary objective function of this research in an interconnected electrical power system to increase the stability of the system with the proposed RRVR technique is evaluated in terms of the different constraints like THD (%), steady-state error (%), settling time (s), overshoot (%), efficiency (%) and to maintain the frequency at a predetermined value, and controlling the change of the power flow of control between the areas renewable energy generation (solar, wind, and fuel cell with battery management system) based intelligent grid system. To provide high-quality, reliable and stable electrical power, the designed controller should perform satisfactorily, that is, suppress the deviation of the load frequency. The performance of linear controllers on non-linear power systems has not yet been found to be effective in overcoming this problem. In this work, a fractional high-order differential feedback controller (FHODFC) is proposed for the LFC problems in a multi-area power system. The gains of FHODFC are best adjusted by resilience random variance reduction technique (RRVR) designed to minimize the overall weighted absolute error performance exponential time. Therefore, the controller circuit automatically adjusts the duty cycle value to obtain a desired constant output voltage value, despite all the grid system’s source voltage and load output changes. The proposed interconnected multi-generation energy generation topology is established in MATLAB 2017b software.