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Optimizing Automatic Voltage Control Collaborative Responses in Chain-Structured Cascade Hydroelectric Power Plants Using Sensitivity Analysis

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Listed:
  • Li Zhang

    (Key Laboratory of Fluid and Power Machinery, Ministry of Education, Xihua University, Chengdu 610039, China
    Sichuan Provincial Engineering Research Center of Hydroelectric Energy Power Equipment Technology, Xihua University, Chengdu 610039, China
    School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada)

  • Jie Yang

    (Key Laboratory of Fluid and Power Machinery, Ministry of Education, Xihua University, Chengdu 610039, China
    Sichuan Provincial Engineering Research Center of Hydroelectric Energy Power Equipment Technology, Xihua University, Chengdu 610039, China)

  • Jun Wang

    (Dadu River Pubugou Hydropower General Plant, CHN ENERGY Investment Group Co., Ltd., Ya’an 625304, China)

  • Lening Wang

    (Dadu River Pubugou Hydropower General Plant, CHN ENERGY Investment Group Co., Ltd., Ya’an 625304, China)

  • Haiming Niu

    (Guoneng Zhishen Control Technology Co., Ltd., Beijing 102211, China)

  • Xiaobing Liu

    (Key Laboratory of Fluid and Power Machinery, Ministry of Education, Xihua University, Chengdu 610039, China
    Sichuan Provincial Engineering Research Center of Hydroelectric Energy Power Equipment Technology, Xihua University, Chengdu 610039, China)

  • Simon X. Yang

    (School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada)

  • Kun Yang

    (China Petroleum Engineering & Construction Corporation Southwest Company, Chengdu 610041, China)

Abstract

Southwestern China has abundant hydropower networks, wherein neighboring cascade hydropower stations within the same river basin are typically connected to the power system in a chain-structured configuration. However, when such chain-structured cascade hydroelectric power plants (CC-HPPs) participate in automatic voltage control (AVC), problems such as reactive power interactions among stations and unreasonable voltage gradients frequently arise. To address these issues, this study proposes an optimized multi-station coordinated response control strategy based on sensitivity analysis and hierarchical AVC. Firstly, based on the topology of the chain-structured hydropower sending-end network, a reactive power–voltage sensitivity matrix is constructed. Subsequently, a regional-voltage-coordinated regulation model is developed using sensitivity analysis, followed by the establishment of a mathematical model, solution algorithm, and operational procedure for multi-station AVC-coordinated response optimization. Finally, case studies based on the actual operational data of a CC-HPP network validate the effectiveness of the proposed strategy, and simulation results demonstrate that the approach reduces the interstation reactive power pulling up to 97.76% and improves the voltage gradient rationality by 16.67%. These results substantially improve grid stability and operational efficiency while establishing a more adaptable voltage control framework for large-scale hydropower integration. Furthermore, they provide a practical foundation for future advancements in multi-scenario hydropower regulation, enhanced coordination strategies, and predictive control capabilities within clean energy systems.

Suggested Citation

  • Li Zhang & Jie Yang & Jun Wang & Lening Wang & Haiming Niu & Xiaobing Liu & Simon X. Yang & Kun Yang, 2025. "Optimizing Automatic Voltage Control Collaborative Responses in Chain-Structured Cascade Hydroelectric Power Plants Using Sensitivity Analysis," Energies, MDPI, vol. 18(11), pages 1-27, May.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:11:p:2681-:d:1661804
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    References listed on IDEAS

    as
    1. Mirko Ginocchi & Ferdinanda Ponci & Antonello Monti, 2021. "Sensitivity Analysis and Power Systems: Can We Bridge the Gap? A Review and a Guide to Getting Started," Energies, MDPI, vol. 14(24), pages 1-59, December.
    2. Kougias, Ioannis & Aggidis, George & Avellan, François & Deniz, Sabri & Lundin, Urban & Moro, Alberto & Muntean, Sebastian & Novara, Daniele & Pérez-Díaz, Juan Ignacio & Quaranta, Emanuele & Schild, P, 2019. "Analysis of emerging technologies in the hydropower sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
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