Effective Load Frequency Control of Electric Network System with PID Controller Based on Prairie Dog Optimizer
摘要
In recent times, electric network system regulation and operation is the hottest theme. As a safeguard and conventional regulation, the regulation of the electric network system heavily relies on load frequency control (LFC). A two-area, multi-source, deregulated electric network system is augmented to regulate the LFC in the proposed network, and a novel prairie dog optimizer (PDO)-premised PID controller was considered to optimize the augmented simulation-based electric network. The proposed system employs integral time absolute error (ITAE) as its objective function. Presented PDO-premised PID controller outcomes are analyzed in terms of frequency stabilization settling time and tie-line flow error of the proposed electric network system. Each region’s frequency reactions the unilateral and bilateral power exchange strategy consideration. The outcomes are analyzed with another objective function of integral time square error (ITSE) and HHO optimizer-premised PID regulator. The outcomes reveal that the proposed PDO-premised PID controller with ITAE outperforms in terms of fastest convergence and reaction time.