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Hydropower Planning in Combination with Batteries and Solar Energy

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  • Hasan Huseyin Coban

    (Department of Electrical Engineering, Ardahan University, 75002 Ardahan, Turkey)

Abstract

Battery storage is an important factor for power systems made up of renewable energy sources. Technologies for battery storage are crucial to accelerating the transition from fossil fuels to renewable energy. Between responding to electricity demand and using renewable energy sources, battery storage devices will become increasingly important. The aim of this study is to examine how battery storage affects a power system consisting of solar and hydroelectric energy and to draw conclusions about whether energy storage recommends a power system. The method involves designing a model of eight real cascade hydropower power plants and solving an optimization problem. This power system model is based on existing hydroelectric power plants powered by solar energy and batteries in the Turkish cities of Yozgat and Tokat. A case study with four different battery capacities in the system was carried out to assess the implications of energy storage in the power system. The stochastic nonlinear optimization problem was modeled for 72 h and solved with the MATLAB programming tool. The stochastic Quasi-Newton method performs very well in hybrid renewable problems arising from large-scale machine learning. When solar energy and batteries were added to the system, the maximum installed wind power was found to be 2 MW and 3.6 MW, respectively. In terms of profit and hydropower planning, a medium-proportion battery was found to be the most suitable. Increased variability in hydropower generation results from the installation of an energy storage system.

Suggested Citation

  • Hasan Huseyin Coban, 2023. "Hydropower Planning in Combination with Batteries and Solar Energy," Sustainability, MDPI, vol. 15(13), pages 1-21, June.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10002-:d:1178165
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    References listed on IDEAS

    as
    1. Wu, Yunna & Zhang, Ting & Gao, Rui & Wu, Chenghao, 2021. "Portfolio planning of renewable energy with energy storage technologies for different applications from electricity grid," Applied Energy, Elsevier, vol. 287(C).
    2. Al-Khori, Khalid & Bicer, Yusuf & Koç, Muammer, 2021. "Comparative techno-economic assessment of integrated PV-SOFC and PV-Battery hybrid system for natural gas processing plants," Energy, Elsevier, vol. 222(C).
    3. Abadie, Luis M. & Goicoechea, Nestor, 2022. "Optimal management of a mega pumped hydro storage system under stochastic hourly electricity prices in the Iberian Peninsula," Energy, Elsevier, vol. 252(C).
    4. Gital Durmaz, Yeşim & Bilgen, Bilge, 2020. "Multi-objective optimization of sustainable biomass supply chain network design," Applied Energy, Elsevier, vol. 272(C).
    5. Guo, Yi & Ming, Bo & Huang, Qiang & Liu, Pan & Wang, Yimin & Fang, Wei & Zhang, Wei, 2022. "Evaluating effects of battery storage on day-ahead generation scheduling of large hydro–wind–photovoltaic complementary systems," Applied Energy, Elsevier, vol. 324(C).
    6. Ganesh Sampatrao Patil & Anwar Mulla & Subhojit Dawn & Taha Selim Ustun, 2022. "Profit Maximization with Imbalance Cost Improvement by Solar PV-Battery Hybrid System in Deregulated Power Market," Energies, MDPI, vol. 15(14), pages 1-21, July.
    7. Zhang, Yi & Cheng, Chuntian & Cai, Huaxiang & Jin, Xiaoyu & Jia, Zebin & Wu, Xinyu & Su, Huaying & Yang, Tiantian, 2022. "Long-term stochastic model predictive control and efficiency assessment for hydro-wind-solar renewable energy supply system," Applied Energy, Elsevier, vol. 316(C).
    8. Leonard, Matthew D. & Michaelides, Efstathios E. & Michaelides, Dimitrios N., 2020. "Energy storage needs for the substitution of fossil fuel power plants with renewables," Renewable Energy, Elsevier, vol. 145(C), pages 951-962.
    9. Rahil Parag Sheth & Narendra Singh Ranawat & Ayon Chakraborty & Rajesh Prasad Mishra & Manoj Khandelwal, 2023. "The Lithium-Ion Battery Recycling Process from a Circular Economy Perspective—A Review and Future Directions," Energies, MDPI, vol. 16(7), pages 1-16, April.
    10. Suman Kumar Saha & R. Kar & D. Mandal & S. P. Ghoshal, 2013. "A Novel Firefly Algorithm for Optimal Linear Phase FIR Filter Design," International Journal of Swarm Intelligence Research (IJSIR), IGI Global, vol. 4(2), pages 29-48, April.
    11. Colak, H. Ebru & Memisoglu, Tugba & Gercek, Yasin, 2020. "Optimal site selection for solar photovoltaic (PV) power plants using GIS and AHP: A case study of Malatya Province, Turkey," Renewable Energy, Elsevier, vol. 149(C), pages 565-576.
    12. Li, Xiao & Liu, Pan & Wang, Yibo & Yang, Zhikai & Gong, Yu & An, Rihui & Huang, Kangdi & Wen, Yan, 2022. "Derivation of operating rule curves for cascade hydropower reservoirs considering the spot market: A case study of the China's Qing River cascade-reservoir system," Renewable Energy, Elsevier, vol. 182(C), pages 1028-1038.
    13. Büyüközkan, Gülçin & Karabulut, Yağmur & Mukul, Esin, 2018. "A novel renewable energy selection model for United Nations' sustainable development goals," Energy, Elsevier, vol. 165(PA), pages 290-302.
    14. Yu, Jiah & Ryu, Jun-Hyung & Lee, In-beum, 2019. "A stochastic optimization approach to the design and operation planning of a hybrid renewable energy system," Applied Energy, Elsevier, vol. 247(C), pages 212-220.
    15. Xu, Bin & Zhu, Feilin & Zhong, Ping-an & Chen, Juan & Liu, Weifeng & Ma, Yufei & Guo, Le & Deng, Xiaoliang, 2019. "Identifying long-term effects of using hydropower to complement wind power uncertainty through stochastic programming," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    16. Coruhlu, Yakup Emre & Solgun, Necmettin & Baser, Volkan & Terzi, Fatih, 2022. "Revealing the solar energy potential by integration of GIS and AHP in order to compare decisions of the land use on the environmental plans," Land Use Policy, Elsevier, vol. 113(C).
    17. Zakaria, A. & Ismail, Firas B. & Lipu, M.S. Hossain & Hannan, M.A., 2020. "Uncertainty models for stochastic optimization in renewable energy applications," Renewable Energy, Elsevier, vol. 145(C), pages 1543-1571.
    18. Schill, Wolf-Peter, 2020. "Electricity Storage and the Renewable Energy Transition," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 4(10), pages 2059-2064.
    19. Javed, Muhammad Shahzad & Ma, Tao & Jurasz, Jakub & Ahmed, Salman & Mikulik, Jerzy, 2020. "Performance comparison of heuristic algorithms for optimization of hybrid off-grid renewable energy systems," Energy, Elsevier, vol. 210(C).
    20. Koch, Christopher & Hirth, Lion, 2019. "Short-term electricity trading for system balancing: An empirical analysis of the role of intraday trading in balancing Germany's electricity system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    21. Ramadan J. Mustafa & Mohamed R. Gomaa & Mujahed Al-Dhaifallah & Hegazy Rezk, 2020. "Environmental Impacts on the Performance of Solar Photovoltaic Systems," Sustainability, MDPI, vol. 12(2), pages 1-17, January.
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