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International Journal of Next-Generation Engineering and Technology

Open Access Peer Review International
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Adaptive and Secure Dynamic Voltage Restoration in Smart Power Networks: A Text-Based Integrative Research Study on PI-Controlled DVRs, Converter Coordination, Energy Management, and Cyber-Physical Resilience

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Elena M. Hartwell 1 , Prof. Daniel K. Mercer 1 , Dr. Sofia M. Alvarez 1 ,
4 Department of Electrical and Computer Systems Engineering, Northbridge Global University, United Kingdom
4 School of Energy Systems Engineering, University of Leeds, United Kingdom
4 Department of Electrical Engineering, University of Seville, Spain

Abstract

This article develops a publication-ready integrative research study on dynamic voltage restorers (DVRs) controlled through proportional-integral (PI) strategies in modern smart power environments. The study is grounded strictly in the provided references and addresses an increasingly important problem in electrical engineering: how to maintain voltage quality, mitigate sag events, strengthen distribution reliability, and position DVR-based architectures within broader smart-grid, renewable-energy, storage, and cyber-physical operating contexts. The reviewed literature consistently demonstrates that PI-controlled DVR systems remain central to practical voltage restoration because they balance implementation simplicity, interpretability, controllability, and acceptable dynamic response under industrial and distribution-level disturbances (Chen & Li, 2023; Singh & Sharma, 2022; Wang & Zhang, 2023). At the same time, recent studies point toward a more complex operating environment in which DVRs are no longer isolated compensating devices, but parts of multi-layered infrastructures that include grid-linked solar systems, battery charging subsystems, bidirectional converters, electric vehicle interfaces, cloud-assisted monitoring, and increasingly intelligent digital control ecosystems (Ganesh Kumari et al., 2022; Katyal et al., 2024; Ayyappa et al., 2025; Thangam et al., 2021).

Using a qualitative integrative methodology, this article synthesizes conceptual, control-oriented, and application-focused insights from the supplied sources. The results show four major findings. First, PI-controlled DVRs remain one of the most operationally viable approaches for sag mitigation and voltage regulation across industrial and smart-grid settings (Hussain & Qamar, 2023; Patel & Kumar, 2023; Rao & Kumar, 2024). Second, optimization of controller tuning materially improves compensation quality, response speed, and stability margins (Khan & Li, 2023; Kumar & Gupta, 2024; Sharma & Kumar, 2023). Third, converter topology and storage coordination strongly influence the practical success of DVR deployments in renewable and distributed energy contexts (Swetha et al., 2021; Katyal et al., 2024). Fourth, as power systems become digitized, cybersecurity, cloud resilience, and explainable intelligent supervision become essential complementary dimensions rather than external concerns (Haritha et al., 2024; Vellela & Balamanigandan, 2024; Mandava, Vellela, Gorintla, et al., 2025). The article concludes by proposing a comprehensive interpretive framework for next-generation DVR deployment and identifies research directions linking power quality engineering with trustworthy cyber-physical intelligence.

Keywords

Dynamic voltage restorer, PI controller, voltage sag mitigation, smart grid

References

Ayyappa, G., Srikanth, D., Trivikram, K., Koteswararao, K. S., & Babu, K. N. (2025). Bi-directional DC/AC and DC/DC converter design and control for plug-in hybrid cars. Journal of Next Generation Technology, 5(1), 42–51. https://doi.org/10.5281/zenodo.15250278
Biyyapu, N., Veerapaneni, E. J., Surapaneni, P. P., Vellela, S. S., & Vatambeti, R. (2024). Designing a modified feature aggregation model with hybrid sampling techniques for network intrusion detection. Cluster Computing, 27(5), 5913–5931.
Chen, Y., & Li, Q. (2023). PI controller-based DVR for voltage regulation in distribution networks. Journal of Electrical Engineering & Technology, 18(2), 1200–1210.
Chen, Z., & Wang, P. (2023). Voltage sag compensation and power quality enhancement using DVR with PI controller. International Journal of Electrical Power & Energy Systems, 126, 106746.
Dalavai, L., Purimetla, N. M., Vellela, S. S., SyamsundaraRao, T., Vuyyuru, L. R., & Kumar, K. K. (2024). Improving deep learning-based image classification through noise reduction and feature enhancement. In Proceedings of ICAIQSA (pp. 1–7). IEEE.
Ganesh Kumari, M., Karthika, E., Sathiya Bharathi, B., & Swetha, V. (2022). Design and analysis of PV-based cascaded buck-boost converter for battery charging. Journal of Next Generation Technology, 2(1), 40–48.
Gavini, A., et al. (2025). Bi-directional DC/AC and DC/DC converter design and control for plug-in hybrid cars. Journal of Next Generation Technology, 5(1), 42–51.
Haritha, K., Vellela, S. S., Vuyyuru, L. R., Malathi, N., & Dalavai, L. (2024). Distributed blockchain-SDN models for robust data security in cloud-integrated IoT networks. In Proceedings of ICACRS (pp. 623–629). IEEE.
Hussain, M., & Qamar, M. (2023). Optimal DVR control strategy with PI controller for voltage sag compensation in industrial applications. IEEE Transactions on Industrial Electronics, 71(9), 2354–2361.
Jiang, Y., & Wu, Y. (2023). Application of PI controller-based DVR for voltage sag mitigation in industrial power grids. IEEE Transactions on Industrial Applications, 60(1), 365–372.
Katyal, P., Katyal, R., & Premkumar, K. (2024). Energy management approaches for enhanced performance in grid-linked solar PV system with battery storage. Journal of Next Generation Technology, 4(1), 1–16.
Khan, A., & Li, Y. (2023). Optimized PI controller for DVR in power quality improvement and voltage sag mitigation. Energy, 251, 123456.
Kumar, A., & Gupta, P. (2024). Design and optimization of DVR using PI controller for power system voltage regulation. Electric Power Systems Research, 212, 107717.
Li, M., & Zhao, F. (2022). Dynamic voltage restorer for voltage regulation using optimized PI controller in power distribution systems. Energy Reports, 8, 1005–1013.
Mandava, R., Vellela, S. S., Gorintla, S., Dalavai, L., Malathi, N., & Haritha, K. (2025). Evaluating the impact of explainable AI on user trust in financial decision-support systems. In Proceedings of ICCRTEE (pp. 1–6). IEEE.
Mandava, R., Vellela, S. S., Malathi, N., Haritha, K., Gorintla, S., & Dalavai, L. (2025). Exploring the role of XAI in enhancing predictive model transparency in healthcare risk assessment. In Proceedings of ICCRTEE (pp. 1–5). IEEE.
Mishra, S., & Gupta, R. (2022). PI controller-based dynamic voltage restorer for voltage sag and flicker mitigation in industrial systems. International Journal of Electrical Power & Energy Systems, 104, 372–380.
Patel, R., & Kumar, S. (2023). Enhanced voltage regulation using optimized DVR with PI controller. IEEE Transactions on Power Delivery, 38(5), 2341–2349.
Patel, S., & Mehta, R. (2022). Enhancement of voltage stability using optimized DVR with PI controller in smart grids. IEEE Access, 12, 3201–3209.
Rao, G., & Kumar, S. (2024). Optimal control of DVR using PI controller for enhancing voltage quality in distribution systems. IEEE Transactions on Energy Conversion, 39(2), 512–520.
Sarkar, A., & Sinha, N. (2024). Dynamic voltage restorer for voltage quality improvement using PI control in smart grids. Journal of Electrical Engineering, 80(1), 45–52.
Sharma, D., & Kumar, P. (2023). Optimization of DVR for voltage sag mitigation with PI control algorithm. IEEE Transactions on Smart Grid, 15(4), 1129–1138.
Singh, M., & Sharma, A. (2022). Optimization of dynamic voltage restorer with PI controller for power quality improvement. IEEE Transactions on Industrial Electronics, 69(7), 4102–4110.
Singh, N., & Bhargava, P. (2022). Optimized dynamic voltage restorer for power quality enhancement using PI controller. International Journal of Power Electronics and Drive Systems, 13(5), 1932–1939.
Soni, S., & Garg, N. (2024). Voltage regulation and power quality enhancement using optimized DVR with PI controller in smart grids. Journal of Power and Energy Engineering, 12(1), 29–36.
Swetha, M., Nageswari, S., & Maheshwari, A. (2021). Boost DC-DC converter based balancing system for lithium-ion battery pack in electric vehicle. Journal of Next Generation Technology, 1(1), 56–66.
Thangam, T., Muthuvel, K., & Eswaramoorthy, K. (2021). SEPIC converter with closed loop PI controller for grid utilized PV system. Journal of Next Generation Technology, 1(1).
Vellela, S. S., & Balamanigandan, R. (2023). An intelligent sleep-awake energy management system for wireless sensor network. Peer-to-Peer Networking and Applications, 16(6), 2714–2731.
Vellela, S. S., & Balamanigandan, R. (2024). An efficient attack detection and prevention approach for secure WSN mobile cloud environment. Soft Computing, 28(19), 11279–11293.
Wang, H., & Zhang, L. (2023). Optimization of DVR with PI controller for mitigating voltage sags. International Journal of Electrical Power & Energy Systems, 136, 107520.
Xu, L., & Liu, Q. (2023). PI-controlled DVR for voltage regulation and sag mitigation in industrial applications. Journal of Power Electronics, 34(3), 667–677.
Zhang, T., & Li, X. (2023). Voltage sag compensation using dynamic voltage restorer with PI control for improved power quality. IEEE Transactions on Power Electronics, 38(4), 1345–1354.
Zhao, H., & Yang, M. (2023). Enhanced voltage regulation using dynamic voltage restorer with PI controller in power distribution systems. Renewable and Sustainable Energy Reviews, 167, 112703.

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