Performance Analysis of a Multi-objective Function-Based PID Controller for System Frequency Regulation

This chapter analyses the weighted sum of the proportional integral derivative (PID) controller response in an interconnected power network. The interconnected network is composed of thermal, PV, and energy storage systems (hydro actualizer (HAE) and fuel cell (FC)). At the time of unexpected load demand, the system generation becomes disturbed, and the system frequency oscillates. To control and maintain the standards, a secondary controller is needed for a power network. This chapter expresses the weighted sum of the PID controller as a subordinate controller to the proposed power system. To enhance the performance of the PID controller, the Mayfly Algorithm (MA) involves the optimization of the controller gain parameters. Integral time absolute error (ITAE) objective functions are involved at the time of tuning the controller gain parameters. Finally, the MA-tuned weighted sum of the PID controller result is validated with the MA-tuned PI and PID controllers for supremacy.