Abstract
In this paper, fractional order proportional-integral-derivative (FOPID) and tilted-integral-derivative (TID) controllers are applied in the design of load frequency controller (LFC). Tuneable parameters are adjusted via an improved particle swarm optimization algorithm which is powered by chaotic parameter and crossover operator to find a globally optimal solution. The FOMCON toolbox is employed within MATLAB/Simulink for implementing fractional order modeling and control. A two-area diverse-unit power system is examined considering the physical constraints of generation rate constraint and governor dead band. Comparative evaluations demonstrate that the FOPID-based LFC achieves the greatest dynamic performance under different load disturbance patterns. Sensitivity analysis is carried out to demonstrate the robustness of the proposed LFCs under wide variations in the system loading condition and parameter.
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