This paper proposes the use of particular swarm optimiaztion technique for optimizing input scaling factors for fuzzy logic controller of a two-area interconnected power system. The proposed approach has superior feature including easy implementation, stable convergence characteristics and very good computational performances efficiency. The main objective is to obtain a stable and robust controlled system by tuning the fuzzy logic controller gains (acting as the secondary controller in the AGC system) using PSO algorithm to achieve the lowest error function. Firstly, the interconnected two area power system is modeled and simulated using MATLAB-SIMLINK. The simulation results are obtained in compartive form with those obtained using other controllers like proportional-integral and fuzzy logic controllers to validate the effectiveness of the proposed fuzzy-swarm controller.
Khattab, H., Morsy, G., & Nassar, N. S. (2014). PSO BASED TUNING OF FUZZY LOGIC CONTROLLER FOR TWO AREA INTERCONNECTED POWER SYSTEM. ERJ. Engineering Research Journal, 37(2), 137-141. doi: 10.21608/erjm.2014.66893
MLA
H.A. Khattab; G.A. Morsy; N. S. Nassar. "PSO BASED TUNING OF FUZZY LOGIC CONTROLLER FOR TWO AREA INTERCONNECTED POWER SYSTEM". ERJ. Engineering Research Journal, 37, 2, 2014, 137-141. doi: 10.21608/erjm.2014.66893
HARVARD
Khattab, H., Morsy, G., Nassar, N. S. (2014). 'PSO BASED TUNING OF FUZZY LOGIC CONTROLLER FOR TWO AREA INTERCONNECTED POWER SYSTEM', ERJ. Engineering Research Journal, 37(2), pp. 137-141. doi: 10.21608/erjm.2014.66893
VANCOUVER
Khattab, H., Morsy, G., Nassar, N. S. PSO BASED TUNING OF FUZZY LOGIC CONTROLLER FOR TWO AREA INTERCONNECTED POWER SYSTEM. ERJ. Engineering Research Journal, 2014; 37(2): 137-141. doi: 10.21608/erjm.2014.66893
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