PSO BASED TUNING OF FUZZY LOGIC CONTROLLER FOR TWO AREA INTERCONNECTED POWER SYSTEM | ||||
| ERJ. Engineering Research Journal | ||||
| Article 3, Volume 37, Issue 2, April 2014, Page 137-141 PDF (449.69 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/erjm.2014.66893 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| H.A. Khattab1; G.A. Morsy1; N. S. Nassar2 | ||||
| 1Electrical Engineering Department Faculty of Engineering Menoufiya University, Egypt | ||||
| 2Qaliobia Company of water and wastewater | ||||
| Abstract | ||||
| 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. | ||||
| Keywords | ||||
| Automatic Generation Control (AGC); Proportional Integral (PI) Controller; Fuzzy logic controller (FLC); particle swarm optimization (PSO); Load Frequency Control (LFC) and integral time absolute error (ITAE) | ||||
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