Investigation of Renewable Energy-Based Power System by Implementing ACO Technique Optimized Secondary Controller for Frequency Regulation

This article discussed the performance analysis of the Ant Colony Optimization (ACO) technique-based Proportional Integral Derivative (PID) controller for frequency regulation of a thermal power system incorporated with Photovoltaic (PV), Wind Energy Source, and Energy storage units (ESU). The role of the ACO-PID controller is to regulate the system frequency at an emergency loading condition. During sudden loading conditions an unbalance is created between generation and load, it leads to an oscillation in the system frequency. ACO-PID controller is employed to control the oscillation in the system frequency. The performance of the ACO-PID controller is compared with the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) technique-based PID controllers for the identical power system. The proposed optimized controller provides better performance in terms of time domain parameters such as fast settling, and minimal peak shoots in the oscillated system frequency over GA, PSO, and MVO techniques.