Design and Optimization of Dynamic Voltage Restorers for Enhancing Power Quality and Fault Ride through (FRT) in Grid-Integrated Hybrid Energy Systems
DOI:
https://doi.org/10.24113/ijoscience.v10i5.521Abstract
The integration of renewable energy sources, such as solar and wind, into modern power grids presents challenges in maintaining power quality and stability, particularly under fault conditions like voltage sags and swells. This research focuses on the design and optimization of Dynamic Voltage Restorers (DVRs) to enhance power quality and Fault Ride through (FRT) capabilities in hybrid solar-wind systems. Using advanced control strategies, including fuzzy logic and adaptive Bee Colony Optimization (ABCO), DVRs mitigate voltage disturbances and optimize the parameters of Proportional-Integral (PI) controllers. The study examines system performance across three scenarios: without DVR, with DVR using fuzzy logic control, and with DVR employing ABCO. Results demonstrate progressive improvements in voltage stability, power quality, and total harmonic distortion (THD) reduction, establishing DVRs as critical components for integrating renewable energy sources into reliable and resilient grid systems
Downloads
Metrics
References
Falope, T., Lao, L., Hanak, D., & Huo, D. (2024). Hybrid energy system integration and management for solar energy: A review. Energy Conversion and Management: X, 100527. DOI: https://doi.org/10.1016/j.ecmx.2024.100527
Alonso, A. M., Matute, G., Yusta, J. M., & Coosemans, T. (2024). Multi-state optimal power dispatch model for power-to-power systems in off-grid hybrid energy systems: A case study in Spain. International Journal of Hydrogen Energy, 52, 1045-1061. DOI: https://doi.org/10.1016/j.ijhydene.2023.06.019
Maghami, M. R., & Mutambara, A. G. O. (2023). Challenges associated with Hybrid Energy Systems: An artificial intelligence solution. Energy Reports, 9, 924-940. DOI: https://doi.org/10.1016/j.egyr.2022.11.195
Qiu, Y., Li, Q., Ai, Y., Chen, W., Benbouzid, M., Liu, S., & Gao, F. (2023). Two-stage distributionally robust optimization-based coordinated scheduling of integrated energy system with electricity-hydrogen hybrid energy storage. Protection and Control of Modern Power Systems, 8(2), 1-14. DOI: https://doi.org/10.1186/s41601-023-00308-8
Buraimoh, E., & Davidson, I. E. (2020, September). Overview of fault ride-through requirements for photovoltaic grid integration, design and grid code compliance. In 2020 9th International Conference on Renewable Energy Research and Application (ICRERA) (pp. 332-336). IEEE. DOI: https://doi.org/10.1109/ICRERA49962.2020.9242914
Kulkarni, N. G., & Virulkar, V. B. (2023). Enhancing the power quality of grid connected photovoltaic system during fault ride through: a comprehensive overview. Journal of The Institution of Engineers (India): Series B, 104(3), 821-836. DOI: https://doi.org/10.1007/s40031-023-00870-7
Zeb, K., Islam, S. U., Khan, I., Uddin, W., Ishfaq, M., Busarello, T. D. C., ... & Kim, H. J. (2022). Faults and Fault Ride Through strategies for grid-connected photovoltaic system: A comprehensive review. Renewable and Sustainable Energy Reviews, 158, 112125. DOI: https://doi.org/10.1016/j.rser.2022.112125
Ahsan, M. S., Tanvir, F. A., Rahman, M. K., Ahmed, M., & Islam, M. S. (2023). Integration of electric vehicles (EVs) with electrical grid and impact on smart charging. International Journal of Multidisciplinary Sciences and Arts, 2(2), 225-234. DOI: https://doi.org/10.47709/ijmdsa.v2i2.3322
Mosleuzzaman, M., Shamsuzzaman, H. M., & Hussain, M. D. (2024). Engineering Challenges and Solutions in Smart Grid Integration with Electric Vehicles. Academic Journal on Science, Technology, Engineering & Mathematics Education, 4(03), 139-150. DOI: https://doi.org/10.69593/ajsteme.v4i03.102
Apata, O., Bokoro, P. N., & Sharma, G. (2023). The risks and challenges of electric vehicle integration into smart cities. Energies, 16(14), 5274. DOI: https://doi.org/10.3390/en16145274
Sebastian, P., & Nair, U. (2024). FRT capability improvement of a wind power system using support vector regression and deep neural network models. Australian Journal of Electrical and Electronics Engineering, 1-12. DOI: https://doi.org/10.1080/1448837X.2024.2355000
Jia, J., Li, H., Wu, D., Guo, J., Jiang, L., & Fan, Z. (2024). Multi-objective optimization study of regional integrated energy systems coupled with renewable energy, energy storage, and inter-station energy sharing. Renewable Energy, 225, 120328. DOI: https://doi.org/10.1016/j.renene.2024.120328
Jain, D., & Saxena, D. (2023). Comprehensive review on control schemes and stability investigation of hybrid AC-DC microgrid. Electric Power Systems Research, 218, 109182. DOI: https://doi.org/10.1016/j.epsr.2023.109182
Kumar, N., Saxena, V., Singh, B., & Panigrahi, B. K. (2023). Power quality improved grid-interfaced PV assisted onboard EV charging infrastructure for smart households’ consumers. IEEE Transactions on Consumer Electronics. DOI: https://doi.org/10.1109/TCE.2023.3296480
Souayfane, F., Lima, R. M., Dahrouj, H., Dasari, H. P., Hoteit, I., & Knio, O. (2023). On the behavior of renewable energy systems in buildings of three Saudi cities: Winter variabilities and extremes are critical. Journal of Building Engineering, 70, 106408. DOI: https://doi.org/10.1016/j.jobe.2023.106408
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Vardhan Patidar, Ashish Bhargava

This work is licensed under a Creative Commons Attribution 4.0 International License.
IJOSCIENCE follows an Open Journal Access policy. Authors retain the copyright of the original work and grant the rights of publication to the publisher with the work simultaneously licensed under a Creative Commons CC BY License that allows others to distribute, remix, adapt, and build upon your work, even commercially, as long as they credit you for the original creation. Authors are permitted to post their work in institutional repositories, social media or other platforms.
Under the following terms:
-
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.