Russian Federation
Russian Federation
from 01.01.2014 until now
Maykop, Maykop, Russian Federation
Russian Federation
UDC 55
CSCSTI 37.00
CSCSTI 38.00
Russian Classification of Professions by Education 05.00.00
Russian Library and Bibliographic Classification 26
Russian Trade and Bibliographic Classification 63
BISAC SCI SCIENCE
This paper presents a concept for distributed renewable energy generation systems designed for use in challenging climate and landscape conditions. The proposed configuration is a hybrid system utilizing solar, wind, and small hydroelectric power plants, selected for their adaptability to remote and infrastructure-constrained areas. Particular attention is paid to the system's operational sustainability, modular scalability, and energy autonomy, considering environmental constraints, resource availability, and operational efficiency. A systems approach is employed to determine the optimal configuration of generating units, energy storage units, and control subsystems. As a result, a basic distributed energy system configuration is proposed that can serve as the foundation for decentralized energy supply in hard-to-reach areas. A test example of the system consisting of a 100W solar module and a 200W wind turbine is considered for the study, but the characteristics of these devices can be easily changed by the user according to their requests and needs. The study highlights the potential of renewable energy sources as a sustainable foundation for reliable off-grid energy solutions.
Hybrid energy systems, renewable energy, distributed energy generation
1. Badran O., Abdulhadi E. and Mamlook R. Evaluation of parameters affecting wind turbine power generation // Seventh Asia-Pacific Conference on Wind Engineering (7th APCWE). — Taipei, Taiwan : Citeseer, 2009. — P. 8–12.
2. Bedanokov M. K., Buchatskiy P. Yu., Teploukhov S. V., et al. The Use of Climatic and Geospatial Data in Assessing the Potential of ”Green Energy” and Designing Energy Systems with Renewable Energy Sources in the Republic of Adygea // Russian Journal of Earth Sciences. — 2025. — ES2018. — https://doi.org/10.2205/2025ES000977.
3. Buchatskaya V. V., Buchatskiy P. Yu., Teploukhov S. V., et al. Multi-Criteria Assessment of Renewable Energy Sources Involvement in the Regional Energy System Based on the Hierarchy Analysis Method // 2025 XXVIII International Conference on Soft Computing and Measurements (SCM). — Saint Petersburg, Russian Federation : IEEE, 2025. — P. 131–135. — https://doi.org/10.1109/SCM66446.2025.11060220.
4. Buchatskiy P. Yu., Teploukhov S. V. and Onishchenko S. V. Geospatial Data in the Design of an Intelligent Information and Analytics System for Renewable Energy // 2024 International Conference on Information Processes and Systems Development and Quality Assurance (IPS). — Saint Petersburg, Russian Federation : IEEE, 2024. — P. 7–11. — https://doi.org/10.1109/IPS62349.2024.10499552.
5. Cheng Q., Zhang Z., Wang Y., et al. A Review of Distributed Energy Systems: Technologies, Classification, and Applications // Sustainability. — 2025. — Vol. 17, no. 4. — P. 1346. — https://doi.org/10.3390/su17041346.
6. Delille G., Francois B. and Malarange G. Dynamic Frequency Control Support by Energy Storage to Reduce the Impact of Wind and Solar Generation on Isolated Power System’s Inertia // IEEE Transactions on Sustainable Energy. — 2012. — Vol. 3, no. 4. — P. 931–939. — https://doi.org/10.1109/TSTE.2012.2205025.
7. Hao J., Yang Y., Xu C., et al. A comprehensive review of planning, modeling, optimization, and control of distributed energy systems // Carbon Neutrality. — 2022. — Vol. 1, no. 1. — https://doi.org/10.1007/s43979-022-00029-1.
8. Iweh C. D., Gyamfi S., Tanyi E., et al. Distributed Generation and Renewable Energy Integration into the Grid: Prerequisites, Push Factors, Practical Options, Issues and Merits // Energies. — 2021. — Vol. 14, no. 17. — P. 5375. — https://doi.org/10.3390/en14175375.
9. Jansen W. A. M. and Smulders P. T. Rotor design for horizontal axis windmills // SWD publications. — 1977. — Vol. 7701.
10. Lerman L. V., Benitez G. B., Gerstlberger W., et al. Sustainable conditions for the development of renewable energy systems: A triple bottom line perspective // Sustainable Cities and Society. — 2021. — Vol. 75. — P. 103362. — https://doi.org/10.1016/j.scs.2021.103362.
11. Mori M., Gutiérrez M. and Casero P. Micro-grid design and life-cycle assessment of a mountain hut’s stand-alone energy system with hydrogen used for seasonal storage // International Journal of Hydrogen Energy. — 2021. — Vol. 46, no. 57. — P. 29706–29723. — https://doi.org/10.1016/j.ijhydene.2020.11.155.
12. Nadeem T. B., Siddiqui M., Khalid M., et al. Distributed energy systems: A review of classification, technologies, applications, and policies // Energy Strategy Reviews. — 2023. — Vol. 48. — P. 101096. — https://doi.org/10.1016/j.esr.2023.101096.
13. Putrus G. and Bentley E. Integration of distributed renewable energy systems into the smart grid // Electric Renewable Energy Systems. — 2016. — P. 487–518. — https://doi.org/10.1016/b978-0-12-804448-3.00020-7.
14. Simankov V., Buchatskiy P., Kazak A., et al. A Solar and Wind Energy Evaluation Methodology Using Artificial Intelligence Technologies // Energies. — 2024. — Vol. 17, no. 2. — P. 416. — https://doi.org/10.3390/en17020416.
15. Simankov V. S., Buchatskiy P. Yu., Onishchenko S. V., et al. Review of Models for Estimating and Predicting the Amount of Energy Produced by Solar Energy Systems // Russian Journal of Earth Sciences. — 2023a. — ES0201. — https://doi.org/10.2205/2023ES02SI01.
16. Simankov V. S., Buchatskiy P. Yu., Teploukhov S. V., et al. Designing an Intelligent Information and Analytical System for Evaluating Solutions in Renewable Energy Based on Digital Twins // 2023 Seminar on Information Systems Theory and Practice (ISTP). — Saint Petersburg, Russian Federation : IEEE, 2023b. — P. 85–88. — https://doi.org/10.1109/istp60767.2023.10426987.
17. Song D., Liu Y., Qin T., et al. Overview of the Policy Instruments for Renewable Energy Development in China // Energies. — 2022. — Vol. 15, no. 18. — P. 6513. — https://doi.org/10.3390/en15186513.
18. Vlad C., Barbu M. and Vilanova R. Fuzzy control of an electrical energy generation system based on renewable sources // 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA). — Berlin, Germany : IEEE, 2016. — P. 1–6. — https://doi.org/10.1109/etfa.2016.7733582.
