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Maintaining electric grid reliability under hydrologic drought and heat wave conditions

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  • Lubega, William Naggaga
  • Stillwell, Ashlynn S.

Abstract

During droughts and heat waves, thermal power plants that discharge heated effluent into rivers are often granted thermal variances permitting them to exceed the temperature restrictions imposed on effluent for protection of local aquatic ecosystems. These thermal variances are often justified as necessary for maintaining electricity reliability, particularly as heat waves typically cause an increase in electricity demand. However, current practice lacks tools for the development of grid-scale operational policies that specify the minimal thermal variances required to ensure reliable electricity supply. Creating these policies requires consideration of characteristics of individual power plants, topology and characteristics of the electricity grid, and locations of power plants within the river basin. We develop a methodology for creating such policies that considers these necessary factors. Conceptually, the operational policies developed are similar to the widely used rule curves of reservoir management, as we develop optimal rules for different hydrological and meteorological conditions. The rules are conditioned on leading modes of the ambient hydrological and meteorological conditions at the different power plant locations, leveraging the statistical correlation that exists between these conditions due to geographical proximity and hydrological connectedness. Heat dissipation in rivers and cooling ponds is modeled using the equilibrium temperature concept. Optimal rules are determined through a linear optimization with stochastic costs. We illustrate the methodology with a representative electricity grid model of eight power plants in Illinois that were granted thermal variances in the summer of 2012. Our methodology can facilitate cooperative decision making between environmental agencies, power grid operators, and power plant operators.

Suggested Citation

  • Lubega, William Naggaga & Stillwell, Ashlynn S., 2018. "Maintaining electric grid reliability under hydrologic drought and heat wave conditions," Applied Energy, Elsevier, vol. 210(C), pages 538-549.
  • Handle: RePEc:eee:appene:v:210:y:2018:i:c:p:538-549
    DOI: 10.1016/j.apenergy.2017.06.091
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    References listed on IDEAS

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    1. Zhang, Xiaodong & Vesselinov, Velimir V., 2016. "Energy-water nexus: Balancing the tradeoffs between two-level decision makers," Applied Energy, Elsevier, vol. 183(C), pages 77-87.
    2. DeNooyer, Tyler A. & Peschel, Joshua M. & Zhang, Zhenxing & Stillwell, Ashlynn S., 2016. "Integrating water resources and power generation: The energy–water nexus in Illinois," Applied Energy, Elsevier, vol. 162(C), pages 363-371.
    3. Zheng, Xinzhu & Wang, Can & Cai, Wenjia & Kummu, Matti & Varis, Olli, 2016. "The vulnerability of thermoelectric power generation to water scarcity in China: Current status and future scenarios for power planning and climate change," Applied Energy, Elsevier, vol. 171(C), pages 444-455.
    4. Jornada, Daniel & Leon, V. Jorge, 2016. "Robustness methodology to aid multiobjective decision making in the electricity generation capacity expansion problem to minimize cost and water withdrawal," Applied Energy, Elsevier, vol. 162(C), pages 1089-1108.
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    Cited by:

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    2. Logan, Lauren H. & Gupta, Rohini S. & Ando, Amy & Suski, Cory & Stillwell, Ashlynn S., 2021. "Quantifying tradeoffs between electricity generation and fish populations via population habitat duration curves," Ecological Modelling, Elsevier, vol. 440(C).
    3. Patro, Epari Ritesh & De Michele, Carlo & Avanzi, Francesco, 2018. "Future perspectives of run-of-the-river hydropower and the impact of glaciers’ shrinkage: The case of Italian Alps," Applied Energy, Elsevier, vol. 231(C), pages 699-713.
    4. Chini, Christopher M. & Stillwell, Ashlynn S., 2020. "The changing virtual water trade network of the European electric grid," Applied Energy, Elsevier, vol. 260(C).
    5. Mbungu, Nsilulu T. & Ismail, Ali A. & AlShabi, Mohammad & Bansal, Ramesh C. & Elnady, A. & Hamid, Abdul Kadir, 2023. "Control and estimation techniques applied to smart microgrids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    6. Gong, Yu & Liu, Pan & Ming, Bo & Li, Dingfang, 2021. "Identifying the effect of forecast uncertainties on hybrid power system operation: A case study of Longyangxia hydro–photovoltaic plant in China," Renewable Energy, Elsevier, vol. 178(C), pages 1303-1321.

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