LOAD FREQUENCY CONTROL USING A NOVEL HYBRID OPTIMIZATION TECHNIQUE FOR SFOPID CONTROLLERS
Abstract
Frequency stability in modern power systems is increasingly challenged by the integration of variable renewable energy sources. This study presents a hybrid optimization strategy, combining the Arithmetic Optimization Algorithm and Rat Swarm Optimizer (AOA-RSO), to tune a novel Sigmoid-based Fractional-Order PID (SFOPID) controller for load frequency control. Evaluated on a two-area system, comprising thermal, hybrid PV-wind, and battery storage resources, the proposed controller demonstrates exceptional efficacy. It significantly improves dynamic response, yielding settling times of 20.1 ms and 28.9 ms, a 1.62% reduction in tie-line power deviation, and a minimized ITAE index of 0.2690. Comparative analysis against 20 strategies, including WOA, SMA, and ANN-PID, confirms its superior performance and resilience, underscoring its value for ensuring grid stability with high renewable penetration.
Keywords ( Dual-area power system; RE control; AOA-RSO; Cascaded fractional-order controller; LFC)
