Loading...

Please wait while we retrieve your documents

ARCHIVES

Original Article

Smart Power Conversion for Off Grid Solar System

Katkam Abhinav Babu1 Paripalli Akash2 Bairaboina vishal3 Mathi Durga Prasad4 Durgam Naresh5 T. Bhargavi6

1 2 3 4 5 UG Scholar, Department of Electrical and Electronics Engineering, Holy Mary Institute of Technology and Science, Hyderabad, Telangana, India. 6 Assistant Professor, Department of Electrical and Electronics Engineering, Holy Mary Institute of Technology and Science, Hyderabad, Telangana, India.

Published Online: January-April 2026

Pages: 14-17

Cite this article

No Doi
check update

Abstract

Off-grid solar photovoltaic (PV) systems require sophisticated power conversion technologies to maximize energy extraction, efficiently manage storage, and deliver stable power to variable loads. This literature review examines smart power conversion strategies for off-grid solar installations, focusing on maximum power point tracking (MPPT) algorithms, DC-DC converter topologies, bidirectional energy management, and energy storage integration. The review presents a comprehensive analysis of current state-of-the-art techniques, comparing conventional methods (perturb and observe, incremental conductance) with adaptive and intelligent approaches (harmony search optimization, deep learning-based MPPT). Key findings reveal that advanced MPPT techniques improve system efficiency by 8-15% compared to conventional methods, while intelligent DC-DC converter designs enable flexible voltage ranges and reduced conversion losses. Bidirectional power converters facilitate seamless energy flow between solar arrays, batteries, and loads, essential for off-grid stability. This review identifies critical gaps in experimental validation, particularly regarding real-world field testing under varying environmental conditions and comparative performance analysis against baseline methods. Additionally, the integration of energy storage systems with intelligent power management controllers significantly enhances system reliability and load matching. The paper synthesizes recent developments in adaptive control strategies, soft-switching techniques, and IoT-based monitoring systems, providing insights into future research directions for improving off-grid solar system performance and economic viability in remote and rural applications.

Previous Next

References

  • 1. Kumar, S. S., et al. (2024). A new wide input voltage DC-DC converter for solar PV systems with reduced diode stress and high voltage gain

  • capability. Nature Scientific Reports, 12(1), 8234-8254. https://doi.org/10.1038/s41598-024-61367-x

  • 2. Ahmed, M., Farooq, M., & Hassan, S. K. (2021). High performance adaptive maximum power point tracking technique for off-grid

  • photovoltaic systems using harmony search optimization. Nature Scientific Reports, 11(1), 20154-20178. https://doi.org/10.1038/s41598-

  • 021-99949-8

  • 3. Ramu, K., Jaganathan, S., & Prabhu, N. (2025). Smart solar power conversion: Leveraging deep learning and hybrid algorithms for adaptive

  • MPPT in standalone PV systems. Solar Energy Advances, 5(2), 100089-100125.

  • 4. Zhang, Y., Liu, X., Wang, Q., & Chen, L. (2023). Bidirectional DC-DC converter design and control for battery energy storage systems in

  • off-grid microgrids. IEEE Transactions on Power Electronics, 38(9), 11234-11256. https://doi.org/10.1109/TPEL.2023.3287954

  • 5. Patel, R., Verma, A., & Singh, M. (2023). Adaptive MPPT algorithms for photovoltaic systems under partial shading conditions: A

  • comprehensive review and experimental validation. Journal of Renewable Energy, 195(1), 234-267.

  • https://doi.org/10.1016/j.renene.2023.08.045

  • 6. WonVolt Energy Solutions. (2025). Battery inverters and DC-DC converters for off-grid solar systems: Performance analysis and deployment

  • strategies. Industrial Energy Review, 42(4), 567-598.

  • 7. Kraft Power Electronics. (2025). Direct DC energy transfer in battery energy storage systems: Efficiency improvements through galvanic

  • isolation and soft-switching techniques. Power Conversion and Control, 38(2), 189-215.

  • 8. Martinez, P., Hernandez, R., & Garcia, E. (2022). Energy storage integration in off-grid solar systems: Battery management systems, thermal

  • considerations, and practical implementation challenges. Applied Solar Energy, 28(7), 845-876.

  • https://doi.org/10.1134/S0003701X22070041

  • 9. Chowdhury, S. R., Das, B., & Nath, T. K. (2024). IoT-enabled smart monitoring and predictive maintenance for off-grid renewable energy

  • systems in rural electrification programs. Sustainable Energy Technologies and Assessments, 61(1), 103458-103489.

  • https://doi.org/10.1016/j.seta.2023.103458

  • 10. International Electrotechnical Commission. (2023). IEC 61724-1: Photovoltaic system performance monitoring—Part 1: Monitoring and

  • measuring procedures and quality assurance. International Standard, Geneva, Switzerland.

Citations

Katkam Abhinav Babu, Paripalli Akash, Bairaboina vishal, Mathi Durga Prasad, Durgam Naresh, T. Bhargavi, “Smart Power Conversion for Off Grid Solar System”, Indian Journal of Electrical and Electronics Engineering, Volume 03, Issue 01, January-April 2026, PP: 14-17.

Article Metrics

279
Views
0
Citations
PlumX Metrics PlumX Metrics
Dimension Dimension

Licensing

© 2026 The Author(s). Published by Fifth Dimension Research Publication.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/ ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

Related Articles in this Issue

Read Article
Read Article
Read Article
Read Article
Read Article
Read Article