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Characterisation and use of energy flexibility in water pumping and storage systems

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  • Amaral Lopes, Rui
  • Grønborg Junker, Rune
  • Martins, João
  • Murta-Pina, João
  • Reynders, Glenn
  • Madsen, Henrik

Abstract

Renewable energy integration in power systems and increasing electrification of energy demand create new challenges to which energy flexibility can provide effective solutions. Trough an innovative use of cumulative energy consumption curves, which represent the maximum and minimum energy limits, as well as the associated flexible energy consumption, this paper presents a methodology to characterise and use the energy flexibility provided by water pumping and storage systems (WPSS) in order to achieve specific objectives at different levels of power systems. The methodology is applied to a case study considering a real WPSS where energy flexibility is used to reduce electricity costs and support the operation of the power system during a wind generation curtailment event. Collected results show that savings around 16% can be achieved while reducing pumping cycles by 57%. Furthermore, the WPSS operation can be modified according to the needs of the power system using the available energy flexibility.

Suggested Citation

  • Amaral Lopes, Rui & Grønborg Junker, Rune & Martins, João & Murta-Pina, João & Reynders, Glenn & Madsen, Henrik, 2020. "Characterisation and use of energy flexibility in water pumping and storage systems," Applied Energy, Elsevier, vol. 277(C).
    • Handle: RePEc:eee:appene:v:277:y:2020:i:c:s0306261920310989
    DOI: 10.1016/j.apenergy.2020.115587
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    References listed on IDEAS

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    Cited by:

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    2. Yin, Linfei & Qiu, Yao, 2022. "Long-term price guidance mechanism of flexible energy service providers based on stochastic differential methods," Energy, Elsevier, vol. 238(PB).
    3. Sun, Mingyi & Zhao, Xia & Tan, Hong & Li, Xinyi, 2022. "Coordinated operation of the integrated electricity-water distribution system and water-cooled 5G base stations," Energy, Elsevier, vol. 238(PC).
    4. Leprince, Julien & Schledorn, Amos & Guericke, Daniela & Dominkovic, Dominik Franjo & Madsen, Henrik & Zeiler, Wim, 2023. "Can occupant behaviors affect urban energy planning? Distributed stochastic optimization for energy communities," Applied Energy, Elsevier, vol. 348(C).
    5. Zhao, Mingzhe & Wang, Yimin & Wang, Xuebin & Chang, Jianxia & Chen, Yunhua & Zhou, Yong & Guo, Aijun, 2022. "Flexibility evaluation of wind-PV-hydro multi-energy complementary base considering the compensation ability of cascade hydropower stations," Applied Energy, Elsevier, vol. 315(C).
    6. He, Hongjie & Du, Ershun & Zhang, Ning & Kang, Chongqing & Wang, Xuebin, 2021. "Enhancing the power grid flexibility with battery energy storage transportation and transmission switching," Applied Energy, Elsevier, vol. 290(C).
    7. Yan Lu & Xuan Liu & Yan Zhang & Zhiqiao Yang & Yunna Wu, 2023. "Investment Efficiency Assessment Model for Pumped Storage Power Plants Considering Grid Operation Demand under Fuzzy Environment: A Case Study in China," Sustainability, MDPI, vol. 15(11), pages 1-23, May.
    8. He, YongXiu & Liu, Yang & Li, MoXing & Zhang, Yan, 2022. "Benefit evaluation and mechanism design of pumped storage plants under the background of power market reform - A case study of China," Renewable Energy, Elsevier, vol. 191(C), pages 796-806.

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