Intelligent Load Frequency Control in a Deregulated Power Systems

One of the most important issues in interconnected deregulated power systems is frequency stabilization. Practically in deregulated power systems, the load and the power system parameters are variable, therefore the stability of the frequency is necessary. In this article, the PID controller is used to load frequency control (LFC) and its K factors are adjusted using PSO, DE, ICA, and fuzzy algorithms. The evolution algorithms such as PSO, DE, and ICA, according to the power system's transfer function, make constant K factors. Load changes and power system parameters change need variables K factors for accurate frequency control. In this study fuzzy parameters controller is proposed in order to create variable K factors for self-tuning. The results obtained from the MATLAB/Simulink show that in a single area deregulated power system, the Fuzzy-PID hybrid controller has reduced settling time and overshoot by 11.79
^%
and 13.04% compared to the existing methods respectively and is a suitable solution for the LFC problem.