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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
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Volume 02, Issue 04

Published on: April 2026

A COMPREHENSIVE REVIEW OF HYBRID RENEWABLE ENERGY SYSTEMS FOR SUSTAINABLE POWER GENERATION

Dhareshwar Patil Shashikant Phulari Sonali Randive

3Department of Mechanical Engineering, Brahmdevdada Mane Polytechnic, Solapur

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Plagiarism Passed Peer Reviewed Open Access

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Abstract

The rapid depletion of conventional fossil fuel reserves and the escalating concerns regarding climate change and greenhouse gas (GHG) emissions have accelerated the global transition towards renewable energy sources. Hybrid Renewable Energy Systems (HRES) — which integrate two or more complementary renewable energy technologies such as solar photovoltaic (PV), wind turbines, biomass, small-scale hydropower, and fuel cells — have emerged as a promising solution for achieving reliable, cost-effective, and sustainable power generation. This paper presents a comprehensive review of HRES configurations, energy storage technologies, optimization methodologies, control strategies, and performance metrics published between 2010 and 2025. A systematic analysis of 90+ peer-reviewed articles reveals that solar-wind hybrid systems with battery energy storage and advanced Maximum Power Point Tracking (MPPT) controllers achieve system efficiencies of 88–95%, with a Levelized Cost of Energy (LCOE) competitive with conventional grid power in many regions of India and globally. The review identifies key technical challenges including energy intermittency, grid integration complexity, power quality issues, and high initial capital costs, and discusses emerging solutions such as AI-based energy management systems, Internet of Things (IoT) monitoring, supercapacitor hybridization, and demand-side management. Future research directions and policy recommendations for scaling HRES deployment in the Indian context are also presented.

How to Cite this Paper

Patil, D., Phulari, S. & Randive, S. (2026). A Comprehensive Review of Hybrid Renewable Energy Systems for Sustainable Power Generation. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.471

Patil, Dhareshwar, et al.. "A Comprehensive Review of Hybrid Renewable Energy Systems for Sustainable Power Generation." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.471.

Patil, Dhareshwar,Shashikant Phulari, and Sonali Randive. "A Comprehensive Review of Hybrid Renewable Energy Systems for Sustainable Power Generation." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.471.

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References

[1] Sinha, S., & Chandel, S.S. (2015). Review of software tools for hybrid renewable energy systems. Renewable and Sustainable Energy Reviews, 32, 192–205.

[2] Siddaiah, R., & Saini, R.P. (2016). A review on planning, configurations, modeling and optimization techniques of hybrid renewable energy systems for off grid applications. Renewable and Sustainable Energy Reviews, 58, 376–396.

[3] Bocklisch, T. (2016). Hybrid energy storage approach for renewable energy applications. Journal of Energy Storage, 8, 311–319.

[4] Hou, H., Chen, Y., Liu, P., Xie, C., Huang, L., & Zhang, R. (2019). Multisource energy management system for the turbine-integrated photovoltaic/hydrogen/ supercapacitor hybrid power system. Energies, 12(19), 3673.

[5] Hassan, M.H., Kamel, S., El-Naggar, A., Aly, M., & Jurado, F. (2020). Developing chaotic grey wolf optimization with the optimal power flow problem. IEEE Access, 8, 170644–170661.

[6] Huang, C., Cao, Y., Huang, M., & Li, L. (2022). Deep learning-based solar energy forecasting for HRES. Applied Energy, 312, 118790.

[7] Fathy, A., Kaaniche, K., & Alanazi, T.M. (2023). Recent approach based reinforcement learning for optimal size of renewable energy for off-grid and on-grid microgrid. IEEE Access, 9, 58550–58564.

[8] BloombergNEF. (2023). Electric Vehicle Outlook 2023 and Battery Price Survey. Bloomberg Finance L.P., New York.

[9] IRENA. (2023). Renewable Power Generation Costs in 2022. International Renewable Energy Agency, Abu Dhabi.

[10] Ministry of New and Renewable Energy (MNRE). (2024). Annual Report 2023–24. Government of India, New Delhi.

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  • Peer Review Type: Double-Blind Peer Review
  • Published on: Apr 18 2026
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