Load following on a deregulated power system with PID controller optimized using Rao algorithm

The development of distributed control algorithms with increased flexibility and faster convergence to deviation in MW-frequency has gained much research attention recently on load following of deregulated power system. The application of Rao algorithm for exemplary tuning of PID controller gains of two area thermal-thermal system has been explored in deregulated scenario. Rao algorithm is the robust and newly proposed method developed in 2020, which is of computationally simple with added advantage of independent of algorithm-specific parameters. The performance evaluation of controllers with Rao algorithm has been examined by considering the different scenarios of deregulated environment in AGC. Simulation studies carried out for performance comparison of Rao algorithm with other popular heuristic algorithms such as Grey Wolf optimization (GWO), Genetic Algorithm (GA) and Particle Swarm optimization (PSO) ensures the robustness and faster convergence of the proposed Rao algorithm.