Find in Library

The inclusion of renewable energy sources (RES) into electricity grids raises numerous concerns. Designing interconnected power networks with minimal frequency variations and tie-line power fluctuations has become a top priority. Due to the intermittent nature of renewable energy sources, power generator fluctuations depend on environmental circumstances. This work presents a unique hybrid Fractional Order Controller (FOC) adapted for load frequency control in interconnected power networks. The novel controller combines the advantages of two commonly used fractional-order proportional-integral-derivative (FOPID) and tilt-integral-derivative (TID) controllers. Grey Wolf Optimization (GWO) and Firefly Algorithm (FFA) techniques are used to determine the optimal controller parameters. Optimization of the different controller parameters of a three-area interconnected power system incorporating different types of renewable energy sources and loads is considered. The simulation results obtained were compared by incorporating FOPID, FOPIDTID with GWO, and FOPID-TID with FFA. It is observed that FOPID-TID with FFA gives better performance in terms of high mitigation of frequency fluctuations, tie-line power deviation, increased robustness and enhanced system stability over a wide range of parameters, uncertainty, and fast transient response.