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An Optimal Operation Method for Parallel Hydropower Systems Combining Reservoir Level Control and Power Distribution

Author

Listed:
  • Xinyu Wu

    (Dalian University of Technology)

  • Yuan Lei

    (Dalian University of Technology)

  • Chuntian Cheng

    (Dalian University of Technology)

  • Qilin Ying

    (LuYuan Hydropower Company of Northeast Branch of State Grid Corporation of China)

Abstract

Parallel hydropower systems encounter a high risk of spillage in flood periods. Therefore, controlling spillage should be considered when hydropower systems increase power generation and satisfy power grid demand. To meet multiple operation targets, an effective operation method needs to precisely control the reservoir level and quickly adjust the power schedule based on real-time load changes. In this paper, an optimal operation method for parallel hydropower systems combining reservoir level control and power distribution is proposed. The method generates reservoir level control rules using a multi-objective simulation method for no gird demands operation. It obtains a power distribution schedule considering spill risk and non-storage losses for gird demands. Taking a parallel system in southwest China as an example, the results show that the method can produce an annual power generation of 55.2 billion kWh, which is a 6.1% improvement compared to regular method. Moreover, it can precisely control the daily water level and quickly adjust power distribution. It can be applied to parallel systems and has favorable results in power generation, peak shaving, and especially spillage reduction.

Suggested Citation

  • Xinyu Wu & Yuan Lei & Chuntian Cheng & Qilin Ying, 2023. "An Optimal Operation Method for Parallel Hydropower Systems Combining Reservoir Level Control and Power Distribution," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(4), pages 1729-1745, March.
    • Handle: RePEc:spr:waterr:v:37:y:2023:i:4:d:10.1007_s11269-023-03451-x
    DOI: 10.1007/s11269-023-03451-x
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    References listed on IDEAS

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    1. Libing Zhang & Chuanyu Kang & Chengguo Wu & Haiguan Yu & Juliang Jin & Yuliang Zhou & Ting Zhou, 2022. "Optimization of Drought Limited Water Level and Operation Benefit Analysis of Large Reservoir," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4677-4696, September.
    2. Yuxin Zhu & Jianzhong Zhou & Yongchuan Zhang & Zhiqiang Jiang & Benjun Jia & Wei Fang, 2022. "Optimal Energy Storage Operation Chart and Output Distribution of Cascade Reservoirs Based on Operating Rules Derivation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(14), pages 5751-5766, November.
    3. He, Zhongzheng & Zhou, Jianzhong & Qin, Hui & Jia, Benjun & He, Feifei & Liu, Guangbiao & Feng, Kuaile, 2020. "A fast water level optimal control method based on two stage analysis for long term power generation scheduling of hydropower station," Energy, Elsevier, vol. 210(C).
    4. V. Ramaswamy & F. Saleh, 2020. "Ensemble Based Forecasting and Optimization Framework to Optimize Releases from Water Supply Reservoirs for Flood Control," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(3), pages 989-1004, February.
    5. Chang-ming Ji & Ting Zhou & Hai-tao Huang, 2014. "Operating Rules Derivation of Jinsha Reservoirs System with Parameter Calibrated Support Vector Regression," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(9), pages 2435-2451, July.
    6. Vedula, S. & Mujumdar, P.P. & Chandra Sekhar, G., 2005. "Conjunctive use modeling for multicrop irrigation," Agricultural Water Management, Elsevier, vol. 73(3), pages 193-221, May.
    7. Jiang, Zhiqiang & Ji, Changming & Qin, Hui & Feng, Zhongkai, 2018. "Multi-stage progressive optimality algorithm and its application in energy storage operation chart optimization of cascade reservoirs," Energy, Elsevier, vol. 148(C), pages 309-323.
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