Modeling the Angara-Yenisei Cascade Operations Based on Firm Winter Power Output Maximization

Authors

  • E.N. Osipchuk Melentiev Energy Systems Institute SB RAS, Irkutsk, Russia
  • N.N. Abasov Melentiev Energy Systems Institute SB RAS, Irkutsk, Russia
  • V.M. Nikitin Melentiev Energy Systems Institute SB RAS, Irkutsk, Russia
  • V.M. Berdnikov Melentiev Energy Systems Institute SB RAS, Irkutsk, Russia

DOI:

https://doi.org/10.25729/esr.2026.01.0010

Keywords:

Hydropower plant, operations, modeling, exceedance probability, water management rules, low-water periods, reliability

Abstract

The study explores the current challenges and constraints in regulating the operations of the Angara-Yenisei cascade of hydroelectric power plants. An overview of modern approaches to hydropower plant operation modeling is provided. A mathematical formulation of maximizing of the firm winter power output of the Angara-Yenisei cascade is presented. The developed Garant-Cascade system is described highlighting the interaction of its primary modules. The Angara-Yenisei cascade operations and optimal firm winter power output under various scenarios and constraints were calculated using the Garant-Cascade system. A database of average monthly reservoir inflows for the 1903–2025 period served as the input data for modeling a continuous series of hydropower operating conditions. Two scenarios of the cascade operations with and without firm winter power were discussed. The first scenario involves maintaining the required cascade winter power by regulating discharge at the Bratsk hydropower plant. The second scenario utilizes the dispatch curve to set the discharge of the Bratsk hydropower plant according to the current reservoir water level. The five levels of the winter power (low, reduced, firm, increased, high) were identified depending on the reservoir water level at the beginning of the winter period. The modeling results for the hydropower plant operations during the extreme low-water period of 2014–2018 are presented, demonstrating the minimum cascade winter power.

References

V. A. Saveliev, Modern problems and the future of hydropower in Siberia. Novosibirsk, Russia: Nauka, 2000. (In Russian)

V. V. Kolmogorov, L. E. Khalyapin, “Irkutsk HPP and the Angara-Yenisei cascade in Siberia power industry. Ways to increase efficiency,” EKO, no. 8, pp. 44–53, 2022. (In Russian)

V. M. Nikitin, N. V. Abasov, T. V. Berezhnykh, E. N. Osipchuk, “The Angara-Yenisei cascade of HPPs under changing climate conditions,” Energeticheskaya politika, no. 4, pp. 62–71, 2017. (In Russian)

V. M. Nikitin, N. V. Abasov, M. V. Bolgov, E. N. Osipchuk, “The stability of the water management system in the Angara river basin in different water level conditions,” Geography and Natural Resources, vol. 42, no. 2, pp. 139–147, 2021. DOI: 10.1134/S1875372821020104.

V. M. Nikitin, N. V. Abasov, I. V. Bychkov, E. N. Osipchuk, “Level regime of Lake Baikal: Problems and contradictions,” Geography and Natural Resources, vol. 40, pp. 353–361, 2019. DOI: 10.1134/S1875372819040073.

N. V. Abasov, M. V. Bolgov, V. M. Nikitin, E. N. Osipchuk, “Level regime regulation in Lake Baikal,” Water Resources, vol. 44, no. 3, pp. 537–546, 2017. DOI: 10.1134/S0097807817030022.

Basic rules for the use of water resources of the Angara cascade reservoirs (Irkutsk, Bratsk, and Ust-Ilimsk), Ministry of Land Reclamation and Water Management of the RSFSR, Moscow, USSR, 1988. (In Russian)

C. Füllner, S. Rebennack, “Stochastic dual dynamic programming and its variants: A review,” SIAM Review, vol. 67, no. 3, pp. 415–539, 2025. DOI: 10.1137/23M1575093.

S. Q. Brandão, E. E. Rego, R. V. Pillar, “Hydropower enhancing the future of variable renewable energy integration: A regional analysis of capacity availability in Brazil,” Energies, vol. 17, no. 13, p. 3339, 2024. DOI: 10.3390/en17133339.

B. K. Seranilla, N. Löhndorf, “A survey on the applications of stochastic dual dynamic programming and its variants,” Optimization Online, 2024.

C. Batlle, “Analysis of the impact of increased non-conventional renewable energy generation on Latin American electric power systems,” J. R. Paredes, Ed., 2014. DOI: 10.18235/0007960.

V. Lai, Y. F. Huang, C. H. Koo, A. N. Ahmed, “A review of reservoir operation optimizations: From traditional models to metaheuristic algorithms,” Archives of Computational Methods in Engineering, vol. 29, no. 5, pp. 3435–3457, 2022. DOI: 10.1007/s11831-021-09701-8.

A. Helseth, A. C. G. Melo, Q. M. Ploussard, “Hydropower scheduling toolchains: Comparing experiences in Brazil, Norway, and USA and implications for synergistic research,” Journal of Water Resources Planning and Management, vol. 149, no. 7, 2023. DOI: 10.1061/JWRMD5.WRENG-5911.

R. Wurbs. Comparative Evaluation of Generalized River/Reservoir System Models, Texas Water Resources Institute, 2005.

I. Kouveliotis-Lysikatos, A. Waernlund, M. Marin, “Open source modelling and simulation of the Nordic hydro power system,” Energies, vol. 14, no. 5, p. 1425, 2021, DOI: 10.3390/en14051425.

D. E. Rheinheimer, B. Tarroja, A. M. Rallings, “Hydropower representation in water and energy system models: a review of divergences and call for reconciliation,” Environmental Research: Infrastructure and Sustainability, vol. 3, no. 1, Art. no. 012001, 2023. DOI: 10.1088/2634-4505/acb6b0.

A. Amin, I. Javed, A. Areesha, “Analysis of current and future water demands in the Upper Indus basin under IPCC climate and socio-economic scenarios using a hydro-economic WEAP model,” Water, vol. 10, no. 5, p. 537, 2018. DOI: 10.3390/w10050537.

H. Angarita, A. J. Wickel, J. Sieber, “Basin-scale impacts of hydropower development on the Mompós Depression wetlands, Colombia,” Hydrology and Earth System Sciences, vol. 22, no. 5, pp. 2839–2865, 2018. DOI: 10.5194/hess-22-2839-2018.

B. M. Pracheil, V. H. Chalishazar, L. Schaffer, “Energy Flexibility-Environmental Outcomes Tradeoffs Workshop Report and Research Roadmap,” Pacific Northwest National Laboratory, Richland, WA, USA, Tech. Rep. PNNL-34499, 2023.

C. I. Kostaki, P. A. Dratsas, G. N. Psarros, “A novel method to integrate hydropower plants into resource adequacy assessment studies,” Energies, vol. 17, no. 17, Art. no. 4237, 2024. DOI: 10.3390/en17174237.

Z. Cai, Y. Wang, D. Zhang, “Digital twin modeling for hydropower system based on radio frequency identification data collection,” Electronics, vol. 13, no. 13, Art. no. 2576, 2024. DOI: 10.3390/electronics13132576.

Z. Li, P. Yang, Y. Yang, G. Lu, Y. Tang, “Solving stochastic hydro unit commitment using benders decomposition and modified stochastic dual dynamic programming,” Frontiers in Energy Research, vol. 10, Art. no. 955875, 2022. DOI: 10.3389/fenrg.2022.955875.

E. N. Osipchuk, V. M. Nikitin, N. V. Abasov, “Possibilities of enhancing the efficiency of the Angara cascade of hydroelectric power plants,” J. Phys. Conf. Ser., vol. 1652, no. 1, Art. no. 012022, 2020. DOI: 10.1088/1742-6596/1652/1/012022.

V. M. Nikitin, N. V. Abasov, E. N. Osipchuk, “Modeling of long-term operating regimes of hydro power plants as part of energy and water systems in the context of uncertainty,” E3S Web Conf., vol. 209, Art. no. 05014, 2020. DOI: 10.1051/e3sconf/202020905014.

N. V. Abasov, V. M. Nikitin, E. N. Osipchuk, “A system of models to study long-term operation of hydropower plants in the Angara cascade,” Energy Syst. Res., vol. 2, no. 2, pp. 5–18, 2019. DOI: 10.25729/esr.2019.02.0001

Downloads

Published

2026-03-31