Open Access
Issue
E3S Web Conf.
Volume 124, 2019
International Scientific and Technical Conference Smart Energy Systems 2019 (SES-2019)
Article Number 05056
Number of page(s) 5
Section Additional papers
DOI https://doi.org/10.1051/e3sconf/201912405056
Published online 10 February 2020
  1. A. Mardikhanov, Ensuring the interests of the unified energy system of Russia in the formation of the modes of operation of the hydropower complex, Vestnik Kazanskogo gosudarstvennogo energeticheskogo universiteta, 2(42), 3–11 (2019) [Google Scholar]
  2. Z.K. Feng, W.J. Niu, Ch.T. Cheng, S.I. Liao, Hydropower system operation optimization by discrete differential dynamic programming based on orthogonal experiment design, Energy, 126, 720732 (2017) [Google Scholar]
  3. G. Hermida, E.D. Castronuovo, On the hydropower short-term scheduling of large basins, considering nonlinear programming, stochastic inflows and heavy ecological restrictions International, Journal of Electrical Power & Energy Systems, 97, 408–417 (2018) [Google Scholar]
  4. M.M. Belsnes, O. Wolfgang, T. Follestad, E.K. Aasgård, Applying successive linear programming for stochastic short-term hydropower optimization, Electric Power Systems Research, 130, 167–180 (2016) [CrossRef] [Google Scholar]
  5. Ch. Li, J. Zhou, Sh. Ouyang, X. Ding, L. Chen, Improved decomposition–coordination and discrete differential dynamic programming for optimization of large-scale hydropower system, Energy Conversion and Management volume, 84, 363–373 (2014) [CrossRef] [Google Scholar]
  6. Y. Tan, Z. Dong, Ch. Xiong, Z. Zhong, An Optimal Allocation Model for Large Complex Water Resources System Considering Water supply and Ecological Needs, Water, 11(4), 843 (2019) [Google Scholar]
  7. D.A.G. Vieira, L. Guedes, A.Ch. Lisboa, R.R. Saldanha, Formulations for hydroelectric energy production with optimality conditions, Energy Conversion and Management, 89, 781788 (2015) [Google Scholar]
  8. A. Mahor, S. Rangnekar, Short term generation scheduling of cascaded hydro electric system using novel self adaptive inertia weight PSO, International Journal of Electrical Power & Energy Systems, 34(1), 1–9 (2012) [CrossRef] [Google Scholar]
  9. J. Tian, J. Chang, Z. Zhang, Y. Wang, Influence of Three Gorges Dam on Downstream Low Flow, International Journal of Electrical Power & Energy Systems, Water, 11(1), 65 (2019) [Google Scholar]
  10. J. Tian, J. Chang, Z. Zhang, Y. Wang, Influence of Three Gorges Dam on Downstream Low Flow, International Journal of Electrical Power & Energy Systems, Water, 11(1), 65 (2019) [Google Scholar]
  11. F. Zhenghui, W. Yuqi, W. Lu, Z. Haojin, An inexact stochastic optimization model for multi-conflict regional water resources allocation in the South-toNorth water benefited area, Journal of Hydroinformatics, 20(4) (2018) [CrossRef] [Google Scholar]
  12. Ch. Cheng, H. Wu, W. Lu, X. Wu, J. Shen, J. Wang, Power Generation Scheduling for Integrated Large and Small Hydropower Plant Systems in Southwest China, Journal of Water Resources Planning and Management, 143(8) (2017) [Google Scholar]
  13. A. Mardikhanov, V. Sharifullin, Search for a compromise between the interests of water users while forming the operating modes of HPP cascade, IOP Conf. Ser.: Mater. Sci. Eng, 012156 (2019) [Google Scholar]
  14. A. Mardikhanov, The method of forecasting the level of the lower reach of hydroelectric power plants in the conditions of daily flow regulation, Gidtotechnicheskoye stroitelstvo, 6, 16–19 (2012) [Google Scholar]
  15. R.I. Kabacoff, R in action. Data analysis and graphics with R (2011) [Google Scholar]

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