Enhanced Performance of E-STATCOM Using Fuzzy Logic Controller for Grid-Connected Wind Systems Under Dynamic Fault Conditions

This Paper introduces an advanced approach to enhancing the efficiency of grid-connected wind cogeneration systems by replacing conventional proportional-integral (PI) controllers with fuzzy logic controllers (FLC) for the Voltage Source Converter (VSC). Integrating renewable energy sources into power grids poses several challenges, particularly in maintaining the stability of the electrical distribution network (EDN). To address these issues, this work employs points of common coupling (CCP) and two-level converters with Dual Active Bridge (DAB) technology to integrate storage modules effectively. The proposed system features an E-STATCOM setup with DAB-based active and reactive power support, enabling simultaneous operation for improved grid stability. FLCs are utilized in place of PI controllers for both the VSC and DAB to enhance efficiency and reliability under varying grid conditions. The wind farm is subjected to diverse fault scenarios to evaluate power and voltage variations, demonstrating the effectiveness of the proposed control strategy. The DAB-based E-STATCOM, controlled by FLC, significantly improves transient voltage stability across multiple fault conditions while maintaining performance comparable to traditional PI controllers. The proposed system’s effectiveness has been validated through simulations in the MATLAB/Simulink environment.

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Publication Details

Journal
International Journal of Electrical and Electronics Research
Published
2025-03-30
DOI
https://doi.org/10.37391/ijeer.130101
Citations
2
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
2.43
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article

Enhanced Performance of E-STATCOM Using Fuzzy Logic Controller for Grid-Connected Wind Systems Under Dynamic Fault Conditions

G. Mallesham, Srinu Bhukya, T. Murali Krishna, Ch. Anilbharadwaj
2 citations
International Journal of Electrical and Electronics Research
Microgrid Control and Optimization
2.43
article

Enhanced Performance of E-STATCOM Using Fuzzy Logic Controller for Grid-Connected Wind Systems Under Dynamic Fault Conditions

G. Mallesham, Srinu Bhukya, T. Murali Krishna, Ch. Anilbharadwaj
article en
2 citations

Abstract

This Paper introduces an advanced approach to enhancing the efficiency of grid-connected wind cogeneration systems by replacing conventional proportional-integral (PI) controllers with fuzzy logic controllers (FLC) for the Voltage Source Converter (VSC). Integrating renewable energy sources into power grids poses several challenges, particularly in maintaining the stability of the electrical distribution network (EDN). To address these issues, this work employs points of common coupling (CCP) and two-level converters with Dual Active Bridge (DAB) technology to integrate storage modules effectively. The proposed system features an E-STATCOM setup with DAB-based active and reactive power support, enabling simultaneous operation for improved grid stability. FLCs are utilized in place of PI controllers for both the VSC and DAB to enhance efficiency and reliability under varying grid conditions. The wind farm is subjected to diverse fault scenarios to evaluate power and voltage variations, demonstrating the effectiveness of the proposed control strategy. The DAB-based E-STATCOM, controlled by FLC, significantly improves transient voltage stability across multiple fault conditions while maintaining performance comparable to traditional PI controllers. The proposed system’s effectiveness has been validated through simulations in the MATLAB/Simulink environment.

International Journal of Electrical and Electronics ResearchVol. 13(1)
Chaitanya Bharathi Institute of Technology (IN), Osmania University (IN)
Openalex Percentile: Top 12%
Microgrid Control and Optimization
2.43
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Enhanced Performance of E-STATCOM Using Fuzzy Logic Controller for Grid-Connected Wind Systems Under Dynamic Fault Conditions — G. Mallesham, Srinu Bhukya, et al. · International Journal of Electrical and Electronics Research (2025) | TGRS Research Map | TGRS