Fuzzy logic sliding mode controller based solar PV fed UPQC for improvement of dynamic performance and power quality enhancement in distribution power system

The unified power quality conditioner (UPQC) makes use of a fuzzy logic sliding mode controller (FLSMC) in order to enhance the reliability and quality of the distribution power system. This is accomplished by addressing dynamic performance and power quality issues such as current disturbances, voltage sag, swell, and total harmonic distortion (THD) under nonlinear loads. When compared to traditional controllers, FLSMC-based UPQCs perform better in terms of dynamic performance and power quality. In order to reliably extract reference current and voltage signals for UPQC, the FSMPWM architecture makes use of sliding surface implementation. Similarly, control principles are derived for shunt converters and series converters. The Mamdani fuzzy rule basis for switching pulse generation was meant to be implemented at the sliding surface. Chattering is eliminated, and a fixed switching pulse is produced for shunt and series converters through the utilization of the method that has been provided. The results indicate that when a FLSMC controller is utilized, the total harmonic distortion (THD) values of the source voltage are 0.38%, and the THD values of the source current are 2.01%. Additional evidence demonstrates that the compensation utilized by this controller is successful for all parameters. As a result, the FLSMC controller is the most effective of the four options that have been offered. The FLSMC is superior to the FLC, ANFIS, and FOFLC in terms of its ability to increase dynamic performance and power quality. MATLAB/Simulink is used to actually implement the controller-based system architecture for the FOFLC and FLSMC applications.MATLAB/Simulink, Power Quality, and Fractional Order FLC, as well as Fuzzy Sliding Mode Controller, are some of the keywords that are associated with this topic.

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Publication Details

Journal
Scientific Reports
Published
2026-03-12
DOI
https://doi.org/10.1038/s41598-026-43465-0
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
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article

Fuzzy logic sliding mode controller based solar PV fed UPQC for improvement of dynamic performance and power quality enhancement in distribution power system

G. Sravanthi, T. Rama Subba Reddy, K. Mercy Rosalina
Scientific Reports
Photovoltaic System Optimization Techniques
article

Fuzzy logic sliding mode controller based solar PV fed UPQC for improvement of dynamic performance and power quality enhancement in distribution power system

G. Sravanthi, T. Rama Subba Reddy, K. Mercy Rosalina
article en

Abstract

The unified power quality conditioner (UPQC) makes use of a fuzzy logic sliding mode controller (FLSMC) in order to enhance the reliability and quality of the distribution power system. This is accomplished by addressing dynamic performance and power quality issues such as current disturbances, voltage sag, swell, and total harmonic distortion (THD) under nonlinear loads. When compared to traditional controllers, FLSMC-based UPQCs perform better in terms of dynamic performance and power quality. In order to reliably extract reference current and voltage signals for UPQC, the FSMPWM architecture makes use of sliding surface implementation. Similarly, control principles are derived for shunt converters and series converters. The Mamdani fuzzy rule basis for switching pulse generation was meant to be implemented at the sliding surface. Chattering is eliminated, and a fixed switching pulse is produced for shunt and series converters through the utilization of the method that has been provided. The results indicate that when a FLSMC controller is utilized, the total harmonic distortion (THD) values of the source voltage are 0.38%, and the THD values of the source current are 2.01%. Additional evidence demonstrates that the compensation utilized by this controller is successful for all parameters. As a result, the FLSMC controller is the most effective of the four options that have been offered. The FLSMC is superior to the FLC, ANFIS, and FOFLC in terms of its ability to increase dynamic performance and power quality. MATLAB/Simulink is used to actually implement the controller-based system architecture for the FOFLC and FLSMC applications.MATLAB/Simulink, Power Quality, and Fractional Order FLC, as well as Fuzzy Sliding Mode Controller, are some of the keywords that are associated with this topic.

Scientific Reports
Vignana Jyothi Institute of Management (IN), Andhra Pradesh Forest Department (IN)
Affordable and clean energy
Openalex Percentile: Top 28%
Photovoltaic System Optimization Techniques
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