Genetic Algorithm Optimized and Type-I fuzzy logic controlled power smoothing of mathematical modeled Type-III DFIG based wind turbine system. (2022)

• Record Type: Journal Article
• Authors: Ganthia, Bibhu Prasad; Barik, Subrat Kumar; Nayak, Byamakesh
• Is Part Of: Materials today. Volume 56:Part 6(2022)
• Page Start: 3355
• Page End: 3365
• Publication Date: 2022
• Subjects: Wind energy -- Type III Wind Turbine -- Genetic algorithm -- FLC Type-I -- Power loss -- Active power -- Reactive power -- Power smoothing; Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2021.10.193
• Languages: English
• ISSNs: 2214-7853

Abstract

Abstract: This study focused on compensating for reactive power loss and minimizing active power loss during transients caused by fast changes in wind speed. Under transient circumstances, reactive power is critical for improving the voltage profile. In this work, we discuss how to compensate for reactive power losses while reducing active power losses. The goal function of the rotor side and grid side controllers, which are related with active power losses, is minimized using a genetic algorithm approach for voltage profile improvement and power smoothing. Two constraints for rotor side and for both rotor and grid side converter designed here to improve the voltage profile during faults. Further this work carried out by MATLAB simulink and GA optimization technique used for power smoothing. The comparative results on active and reactive power smoothing presented in this paper using Type-I Mode IV FLC and Genetic Algorithm Technique under transient conditions. The main motive is to validate that the Modified Type III wind turbine system can give efficient results using adaptive techniques to control active and reactive power. This research work can be helpful for the researchers to analyze their work reference with these research findings.