Relevance: the large-scale integration of renewable energy sources into electric power systems gives rise to new challenges associated with the variability and uncertainty of electricity generation, maintaining the balance between generation and consumption, coordinating the operating modes of energy storage systems, and ensuring stable operation of the power grid. In particular, the dependence of wind and solar photovoltaic power plants on meteorological conditions limits the possibility of controlling their generation in the same manner as conventional dispatchable power plants. Battery energy storage systems play an important role in addressing this problem by compensating for short-term mismatches between generation and consumption, smoothing rapid fluctuations in renewable power output, and increasing the operational flexibility of the electric power system. This paper provides a systematic analysis of existing methods and technologies for the optimal design of hybrid energy systems consisting of wind power plants, solar photovoltaic power plants, and battery energy storage systems, as well as approaches to generation and load scheduling, energy flow dispatch, and operational control. The advantages and limitations of deterministic, stochastic, and robust optimization, linear and mixed-integer programming, genetic algorithms, particle swarm optimization, model predictive control, fuzzy logic, artificial neural networks, and reinforcement learning-based control methods are considered. In addition, a multi-level control architecture integrating optimal design, forecasting, day-ahead scheduling, energy dispatch, and real-time control is developed. The results of the study can serve as a methodological basis for the subsequent development of optimal energy management and dispatch algorithms for energy systems combining battery and hydrogen energy storage technologies. Aim: selection of effective methods for the design and operational management of systems incorporating wind power plants, solar photovoltaic power plants, and energy storage systems, taking into account the variable and unstable nature of electricity generation, as well as justification of their applicability under different operating conditions. Methods: the study employs an analysis of international experience in demand-side management in power systems with a high share of renewable energy sources, systematization of existing demand-side management and Demand Response methods, and comparative analysis of their technical, organizational, and operational characteristics. Results: the importance of using consumer load flexibility to balance the variability of wind and solar power generation under the transition toward renewable energy sources and the gradual implementation of market mechanisms in the power system of Uzbekistan is substantiated. It is shown that operational demand-side management can reduce short-term mismatches between generation and consumption, increase the balancing capability of the power system, and improve the integration of renewable energy sources. Based on the comparative analysis, relevant proposals are developed for the implementation and further development of demand-side management mechanisms in the power system of Uzbekistan.
| Mualliflar | Tulkin Sh. Gayibov, Alisher E. Shanazarov |
|---|---|
| Jurnal | Энергия ва ресурс тежаш муаммолари |
| Nashriyot | «Ўзбекэнерго» АО, ТДТУ, Ўзбекистон Республикаси ФА, Энергия ва ресурслар тежаш илмий-амалий ўқув маркази, «Ўздавэнергоназорат» давлат инспекцияси, «Энергия тежамкорлиги ва қайта тикланувчи энергия манбалари» илмий-тадқиқот лабораторияси |
| ISSN | 2091-5985, 2181-1946 |
| Nashr sanasi | 2026-10-13 |
| Son | 3 |
| Betlar | 37-46 |
| Til | Ingliz |
| Ilmiy soha | Texnika |
| Indeksga qo‘shilgan | 2026-10-22 |
возобновляемые источники энергии, renewable energy sources, qayta tiklanuvchi energiya manbalari
| APA | Tulkin Sh. Gayibov, & Alisher E. Shanazarov (2026). Analysis of Design, Scheduling and Operational Control Methods for Hybrid Energy Systems with Wind, Solar Photovoltaic and Battery Energy Storage. Энергия ва ресурс тежаш муаммолари, (3), 37-46. https://energy.tdtu.uz/index.php/journal/article/view/409 |
|---|---|
| GOST (OAK) | Tulkin Sh. Gayibov, Alisher E. Shanazarov Analysis of Design, Scheduling and Operational Control Methods for Hybrid Energy Systems with Wind, Solar Photovoltaic and Battery Energy Storage // Энергия ва ресурс тежаш муаммолари. – 2026. – № 3. – P. 37-46. |
| MLA | Tulkin Sh. Gayibov, and Alisher E. Shanazarov. “Analysis of Design, Scheduling and Operational Control Methods for Hybrid Energy Systems with Wind, Solar Photovoltaic and Battery Energy Storage.” Энергия ва ресурс тежаш муаммолари, (3), 37-46, 2026. https://energy.tdtu.uz/index.php/journal/article/view/409 |
| Chicago | Tulkin Sh. Gayibov, and Alisher E. Shanazarov. “Analysis of Design, Scheduling and Operational Control Methods for Hybrid Energy Systems with Wind, Solar Photovoltaic and Battery Energy Storage.” Энергия ва ресурс тежаш муаммолари, (3), 37-46 (2026). https://energy.tdtu.uz/index.php/journal/article/view/409 |
| Harvard | Tulkin Sh. Gayibov, and Alisher E. Shanazarov (2026) ‘Analysis of Design, Scheduling and Operational Control Methods for Hybrid Energy Systems with Wind, Solar Photovoltaic and Battery Energy Storage’, Энергия ва ресурс тежаш муаммолари, (3), 37-46. https://energy.tdtu.uz/index.php/journal/article/view/409 |
| BibTeX | @article{tulkinshgayibov2026,
title = {Analysis of Design, Scheduling and Operational Control Methods for Hybrid Energy Systems with Wind, Solar Photovoltaic and Battery Energy Storage},
author = {Tulkin Sh. Gayibov and Alisher E. Shanazarov},
journal = {Энергия ва ресурс тежаш муаммолари},
year = {2026},
number = {3},
pages = {37-46},
url = {https://energy.tdtu.uz/index.php/journal/article/view/409}
} |
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