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An integrated reservoir-power system model for evaluating the impacts of wind integration on hydropower resources

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  • Kern, Jordan D.
  • Patino-Echeverri, Dalia
  • Characklis, Gregory W.

Abstract

Despite the potential for hydroelectric dams to help address challenges related to the variability and unpredictability of wind energy, at present there are few systems-based wind-hydro studies available in the scientific literature. This work represents an attempt to begin filling this gap through the development of a systems-based modeling framework for analysis of wind power integration and its impacts on hydropower resources. The model, which relies entirely on publicly available information, was developed to assess the effects of wind energy on hydroelectric dams in a power system typical of the Southeastern US (i.e., one in which hydropower makes up <10% of total system capacity). However, the model can easily reflect different power mixes; it can also be used to simulate reservoir releases at self-scheduled (profit maximizing) dams or ones operated in coordination with other generators to minimize total system costs. The modeling framework offers flexibility in setting: the level and geographical distribution of installed wind power capacity; reservoir management rules, and static or dynamic fuel prices for power plants. In addition, the model also includes an hourly ‘natural’ flow component designed expressly for the purpose of assessing changes in hourly river flow patterns that may occur as a consequence of wind power integration. Validation of the model shows it can accurately reproduce market price dynamics and dam storage and release patterns under current conditions. We also demonstrate the model's capability in assessing the impact of increased wind market penetration on the volumes of reserves and electricity sold by a hydroelectric dam.

Suggested Citation

  • Kern, Jordan D. & Patino-Echeverri, Dalia & Characklis, Gregory W., 2014. "An integrated reservoir-power system model for evaluating the impacts of wind integration on hydropower resources," Renewable Energy, Elsevier, vol. 71(C), pages 553-562.
  • Handle: RePEc:eee:renene:v:71:y:2014:i:c:p:553-562
    DOI: 10.1016/j.renene.2014.06.014
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    References listed on IDEAS

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    Cited by:

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    2. Odeh, Rodrigo Pérez & Watts, David, 2019. "Impacts of wind and solar spatial diversification on its market value: A case study of the Chilean electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 442-461.
    3. Lei, Kaixuan & Chang, Jianxia & Wang, Yimin & Guo, Aijun & Huang, Mengdi & Xu, Bo, 2022. "Cascade hydropower stations short-term operation for load distribution considering water level synchronous variation," Renewable Energy, Elsevier, vol. 196(C), pages 683-693.
    4. Wang, Xianxun & Virguez, Edgar & Xiao, Weihua & Mei, Yadong & Patiño-Echeverri, Dalia & Wang, Hao, 2019. "Clustering and dispatching hydro, wind, and photovoltaic power resources with multiobjective optimization of power generation fluctuations: A case study in southwestern China," Energy, Elsevier, vol. 189(C).
    5. Engeland, Kolbjørn & Borga, Marco & Creutin, Jean-Dominique & François, Baptiste & Ramos, Maria-Helena & Vidal, Jean-Philippe, 2017. "Space-time variability of climate variables and intermittent renewable electricity production – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 600-617.
    6. Gong, Yu & Liu, Pan & Ming, Bo & Feng, Maoyuan & Huang, Kangdi & Wang, Yibo, 2022. "Identifying the functional form of operating rules for hydro–photovoltaic hybrid power systems," Energy, Elsevier, vol. 243(C).
    7. Kern, Jordan D. & Characklis, Gregory W., 2017. "Low natural gas prices and the financial cost of ramp rate restrictions at hydroelectric dams," Energy Economics, Elsevier, vol. 61(C), pages 340-350.
    8. Vakalis, Stergios & Kaffas, Konstantinos & Moustakas, Konstantinos, 2020. "The water-energy-climate nexus concept of “Hydrobattery”: Storing excess Variable Renewable Energy (VRE) at the Canyon Ferry Dam," Renewable Energy, Elsevier, vol. 155(C), pages 547-554.
    9. Virguez, Edgar & Wang, Xianxun & Patiño-Echeverri, Dalia, 2021. "Utility-scale photovoltaics and storage: Decarbonizing and reducing greenhouse gases abatement costs," Applied Energy, Elsevier, vol. 282(PA).
    10. Cheng, Chuntian & Liu, Benxi & Chau, Kwok-Wing & Li, Gang & Liao, Shengli, 2015. "China׳s small hydropower and its dispatching management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 43-55.
    11. Wang, Xianxun & Mei, Yadong & Kong, Yanjun & Lin, Yuru & Wang, Hao, 2017. "Improved multi-objective model and analysis of the coordinated operation of a hydro-wind-photovoltaic system," Energy, Elsevier, vol. 134(C), pages 813-839.
    12. Jon Olauson & Johan Bladh & Joakim Lönnberg & Mikael Bergkvist, 2016. "A New Approach to Obtain Synthetic Wind Power Forecasts for Integration Studies," Energies, MDPI, vol. 9(10), pages 1-16, October.
    13. Liu, Yangyang & Jiang, Chuanwen & Shen, Jingshuang & Hu, Jiakai & Luo, Yifan, 2015. "Coordination of hydro units with wind power generation based on RAROC," Renewable Energy, Elsevier, vol. 80(C), pages 783-792.
    14. Nasir, Jehanzeb & Javed, Adeel & Ali, Majid & Ullah, Kafait & Kazmi, Syed Ali Abbas, 2022. "Capacity optimization of pumped storage hydropower and its impact on an integrated conventional hydropower plant operation," Applied Energy, Elsevier, vol. 323(C).
    15. Sterl, Sebastian & Donk, Peter & Willems, Patrick & Thiery, Wim, 2020. "Turbines of the Caribbean: Decarbonising Suriname's electricity mix through hydro-supported integration of wind power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    16. Su, Yufei & Kern, Jordan D. & Characklis, Gregory W., 2017. "The impact of wind power growth and hydrological uncertainty on financial losses from oversupply events in hydropower-dominated systems," Applied Energy, Elsevier, vol. 194(C), pages 172-183.
    17. McPherson, Madeleine & Harvey, L.D. Danny & Karney, Bryan, 2017. "System design and operation for integrating variable renewable energy resources through a comprehensive characterization framework," Renewable Energy, Elsevier, vol. 113(C), pages 1019-1032.
    18. Suwal, Naresh & Huang, Xianfeng & Kuriqi, Alban & Chen, Yingqin & Pandey, Kamal Prasad & Bhattarai, Khem Prasad, 2020. "Optimisation of cascade reservoir operation considering environmental flows for different environmental management classes," Renewable Energy, Elsevier, vol. 158(C), pages 453-464.
    19. Gupta, Akshita & Kumar, Arun & Khatod, Dheeraj Kumar, 2019. "Optimized scheduling of hydropower with increase in solar and wind installations," Energy, Elsevier, vol. 183(C), pages 716-732.
    20. Saffari, Mohammadali & McPherson, Madeleine & Rowe, Andrew, 2023. "Evaluation of flexibility provided by cascading hydroelectric assets for variable renewable energy integration," Renewable Energy, Elsevier, vol. 211(C), pages 55-63.
    21. Conlon, Terence & Waite, Michael & Wu, Yuezi & Modi, Vijay, 2022. "Assessing trade-offs among electrification and grid decarbonization in a clean energy transition: Application to New York State," Energy, Elsevier, vol. 249(C).
    22. Gebretsadik, Yohannes & Fant, Charles & Strzepek, Kenneth & Arndt, Channing, 2016. "Optimized reservoir operation model of regional wind and hydro power integration case study: Zambezi basin and South Africa," Applied Energy, Elsevier, vol. 161(C), pages 574-582.

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