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Cooperation Search Algorithm for Power Generation Production Operation Optimization of Cascade Hydropower Reservoirs

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Abstract

Over the past decades, the reservoirs operation plays an increasingly important role in coping with the serious water, food and energy crisis. However, the curse of dimensionality poses huge challenges for operators because the computation cost often grows exponentially with the expansion of hydropower system. With strong search performance and high execution efficiency, metaheuristic search algorithms become the research hotspot in the reservoir operation field. Here, cooperation search algorithm (CSA) inspired by team cooperation behaviors in modern enterprise is introduced for power generation operation of cascade hydropower reservoirs. In CSA, the team communication operator is designed to determine promising search areas, and then the reflective learning operator is adopted to enhance the local search, while the internal competition operator is used to retain the elite individuals. The feasibility of the CSA method in numerical optimization problems is fully proved by the simulation results of several test functions. Then, the CSA method is used to solve the power generation operation of cascade hydropower reservoirs. The results show that the CSA method outperforms several traditional methods in both convergence rate and search precision. Thus, an effective tool with strong reliability and robustness is provided for the complex reservoir operation problem.

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Due to the strict security requirements from the departments, some or all data, models, or code generated or used in the study are proprietary or confidential in nature.

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Funding

This paper is supported by the National Natural Science Foundation of China (52009012), Natural Science Foundation of Hubei Province (2020CFB340), National Natural Science Foundation of China (U1865202 and 51709119).

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Authors and Affiliations

  1. Bureau of Hydrology, ChangJiang Water Resources Commission, Wuhan, 430010, China

    Wen-jing Niu & Yu-rong Li

  2. College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China

    Zhong-kai Feng

  3. China Water Resources Beifang Investigation, Design and Research Co. Ltd. (BIDR), Tianjin, 300222, China

    Shuai Liu

Authors
  1. Wen-jing Niu
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  2. Zhong-kai Feng
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  3. Yu-rong Li
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Contributions

Wen-jing Niu and Zhong-kai Feng: Conceptualization, Methodology, Supervision, Writing, Investigation, Funding acquisition, Programming. Yu-rong Li: Reviewing, Formal analysis and Visualization. Shuai Liu: Data curation and Programming.

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Correspondence to Zhong-kai Feng.

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Niu, Wj., Feng, Zk., Li, Yr. et al. Cooperation Search Algorithm for Power Generation Production Operation Optimization of Cascade Hydropower Reservoirs. Water Resour Manage 35, 2465–2485 (2021). https://doi.org/10.1007/s11269-021-02842-2

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