Maiden Application of Bacterial Foraging-Based Optimization Technique in Multiarea Automatic Generation Control
作者： J. Nanda , S. Mishra , L.C. Saikia
DOI: 10.1109/TPWRS.2009.2016588
关键词:
摘要: A maiden attempt is made to examine and highlight the effective application of bacterial foraging (BF) optimize several important parameters in automatic generation control (AGC) interconnected three unequal area thermal systems, such as integral controller gains (KIi) for secondary control, governor speed regulation (Ri) primary frequency bias (Bi), compare its performance establish superiority over genetic algorithm (GA) classical methods. Comparison convergence characteristics BF, GA, approach reveals that BF quite faster optimization, leading reduction computational burden giving rise minimal computer resource utilization. Simultaneous optimization KIi, Ri, Bi which surprisingly has never been attempted past, provides not only best dynamic response system but also allows use much higher values Ri (than used practice), will appeal power industries easier cheaper realization governor. Sensitivity analysis carried out demonstrates robustness optimized wide changes inertia constant (H), reheat time (Tr), coefficient (Kr), loading condition, size position step load perturbation.
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