A Novel Lyrebird Optimization Algorithm for Enhanced Generation Rate-Constrained Load Frequency Control in Multi-Area Power Systems with Proportional Integral Derivative Controllers

Processes, Год журнала: 2025, Номер 13(4), С. 949 - 949

Опубликована: Март 23, 2025

This study develops a novel Lyrebird Optimization Algorithm (LOA), technique inspired by the wild behavioral strategies of lyrebirds in response to potential threats. In two-area interconnected power system that includes non-reheat thermal stations, this algorithm is applied handle load frequency control (LFC) optimizing parameters Proportional–Integral–Derivative controller with filter (PIDn). incorporates generation rate constraints (GRCs). The efficiency provided LOA-PIDn evaluated through simulations under various disturbance scenarios and compared against other well-established optimization techniques, including Ziegler–Nichols (ZN), genetic (GA), Bacteria Foraging (BFOA), Firefly Approach (FA), hybridized FA pattern search (hFA–PS), self-adaptive multi-population elitist Jaya (SAMPE-Jaya)-based PI/PID controllers, Teaching–Learning-Based Optimizer (TLBO) IDD/PIDD controllers. results demonstrate LOA’s ability minimize integral time multiplied absolute error (ITAE) achieve significantly lower settling times for frequencies transferred variances comparison methods. comprehensive inclusion real-world validate LOA as robust effective tool addressing complex challenges modern systems.

Язык: Английский

Design and Experimental Evaluation of a Reconfigurable Intelligent Surface for Wireless Applications

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104694 - 104694

Опубликована: Март 1, 2025

Язык: Английский