SCA - Based Load Frequency Control in Power Systems with Integrated Wind Power

To mitigate the frequency stability challenges induced by random power fluctuations and alterations in Load Frequency Control (LFC) parameters during large-scale wind power integration, an optimal PID controller design method based on an intelligent optimization algorithm is presented in this paper. Firstly, a PID-controlled closed-loop LFC model for interconnected power systems incorporating wind generation is established by using static output feedback control method. Secondly, the minimum value of the integral of time multiplied absolute error (ITAE) index of the time - domain output response is selected as the optimization target function, and the optimal PID controller settings are obtained by using the sine cosine algorithm (SCA) with excellent performance. Finally, simulation results confirm that the suggested LFC method has remarkable robustness, even under condions of step load and random load disturbances, wind power deviation effects, and system parameter variations. Additionally, it facilitates greater wind power penetration into the grid.