Fuzzy logic-controlled three-phase dynamic voltage restorer for enhancing voltage stabilization and power quality

• Assess voltage regulation accuracy, response time, and adaptability under varying load conditions. • Analyze the impact of load and supply voltage variations on DVR efficiency and resilience. • Evaluate energy savings and cost-effectiveness of FLC-based DVR systems. • Compare DVR configurations, including single-phase, three-phase, series, and parallel setups. Enhancing power quality (PQ) in electrical distribution systems is vital for maintaining a stable and reliable power supply, especially for sensitive industrial and commercial loads prone to voltage disturbances. With the increasing integration of renewable energy sources (RES) and the widespread adoption of advanced electronic devices, modern power grids face growing challenges in addressing voltage sags, swells, and harmonics, threatening equipment performance and system reliability. This study proposes a comprehensive solution by implementing a Three-phase Dynamic Voltage Restorer (DVR) integrated with a Fuzzy Logic Controller (FLC). The selection of FLC stems from its ability to mimic human decision-making and handle non-linear, imprecise data, offering superior adaptability and precision compared to traditional control methods. Unlike conventional algorithms, which struggle under fluctuating grid conditions and complex disturbances, FLC dynamically adjusts the output of DVR based on real-time reference and load voltage measurements. This ensures optimal compensation and consistent voltage regulation across varying operating scenarios. The DVR, strategically placed downstream of a transformer within a three-phase supply network, detects voltage disturbances and compensates for deviations in real time. The developed optimization model demonstrates the effectiveness of proposed system, achieving an impressive 95% efficiency in correcting voltage disturbances and significantly reducing total harmonic distortion (THD) to 2.41%. Furthermore, the system showcases exceptional performance in handling voltage sags, reducing them to as low as 0.68% and an ultra-fast response time of less than 0.5 ms, surpassing the capabilities of conventional methods. The FLC-based DVR system offers robust voltage regulation, improved fault resilience, and enhanced grid stability by addressing critical PQ challenges exacerbated by the transition to RES and increased dependency on sensitive loads. Its advanced features make it a transformative solution for mitigating voltage disturbances in grid-connected systems, ensuring reliability and efficiency in the face of modern energy demands.

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Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2025-02-13
DOI
https://doi.org/10.1016/j.ijepes.2025.110517
Citations
11
Primary Topic
Power Quality and Harmonics
Type
article
Field-Weighted Citation Impact
8.03
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article

Fuzzy logic-controlled three-phase dynamic voltage restorer for enhancing voltage stabilization and power quality

Abu Shufian, Md Tanvir Rahman, Shaikh Anowarul Fattah, Nasif Hannan et al.
11 citations
International Journal of Electrical Power & Energy Systems
Power Quality and Harmonics
8.03
article

Fuzzy logic-controlled three-phase dynamic voltage restorer for enhancing voltage stabilization and power quality

Abu Shufian, Md Tanvir Rahman, Shaikh Anowarul Fattah, Nasif Hannan, Sowrov Komar Shib, Durjoy Roy Dipto
article en
11 citations

Abstract

• Assess voltage regulation accuracy, response time, and adaptability under varying load conditions. • Analyze the impact of load and supply voltage variations on DVR efficiency and resilience. • Evaluate energy savings and cost-effectiveness of FLC-based DVR systems. • Compare DVR configurations, including single-phase, three-phase, series, and parallel setups. Enhancing power quality (PQ) in electrical distribution systems is vital for maintaining a stable and reliable power supply, especially for sensitive industrial and commercial loads prone to voltage disturbances. With the increasing integration of renewable energy sources (RES) and the widespread adoption of advanced electronic devices, modern power grids face growing challenges in addressing voltage sags, swells, and harmonics, threatening equipment performance and system reliability. This study proposes a comprehensive solution by implementing a Three-phase Dynamic Voltage Restorer (DVR) integrated with a Fuzzy Logic Controller (FLC). The selection of FLC stems from its ability to mimic human decision-making and handle non-linear, imprecise data, offering superior adaptability and precision compared to traditional control methods. Unlike conventional algorithms, which struggle under fluctuating grid conditions and complex disturbances, FLC dynamically adjusts the output of DVR based on real-time reference and load voltage measurements. This ensures optimal compensation and consistent voltage regulation across varying operating scenarios. The DVR, strategically placed downstream of a transformer within a three-phase supply network, detects voltage disturbances and compensates for deviations in real time. The developed optimization model demonstrates the effectiveness of proposed system, achieving an impressive 95% efficiency in correcting voltage disturbances and significantly reducing total harmonic distortion (THD) to 2.41%. Furthermore, the system showcases exceptional performance in handling voltage sags, reducing them to as low as 0.68% and an ultra-fast response time of less than 0.5 ms, surpassing the capabilities of conventional methods. The FLC-based DVR system offers robust voltage regulation, improved fault resilience, and enhanced grid stability by addressing critical PQ challenges exacerbated by the transition to RES and increased dependency on sensitive loads. Its advanced features make it a transformative solution for mitigating voltage disturbances in grid-connected systems, ensuring reliability and efficiency in the face of modern energy demands.

International Journal of Electrical Power & Energy SystemsVol. 166
American International University-Bangladesh (BD), Bangladesh University of Engineering and Technology (BD), Green University of Bangladesh (BD)
Affordable and clean energy
Openalex Percentile: Top 3%
Power Quality and Harmonics
8.03
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