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The Multi-Objective Optimal Scheduling of the Water–Wind–Light Complementary System Based on an Improved Pigeon Flock Algorithm

Author

Listed:
  • Kangping Wang

    (Northwest Branch of State Grid Corporation of China, Xi’an 710048, China)

  • Pengjiang Ge

    (Northwest Branch of State Grid Corporation of China, Xi’an 710048, China)

  • Naixin Duan

    (Northwest Branch of State Grid Corporation of China, Xi’an 710048, China)

  • Jili Wang

    (Northwest Branch of State Grid Corporation of China, Xi’an 710048, China)

  • Jinli Lv

    (Northwest Branch of State Grid Corporation of China, Xi’an 710048, China)

  • Meng Liu

    (Beijing Kedong Electric Power Control System Co., Ltd., Beijing 100080, China)

  • Bin Wang

    (Department of Power and Electrical Engineering, Northwest A&F University, Xianyang 712100, China)

Abstract

The output of wind power and photovoltaic power is random, fluctuating and intermittent, and a direct grid connection will result in the reduction of power generation income and a great fluctuation in the power grid’s connection. The addition of hydropower stations can reduce the above problems. Therefore, this paper first introduces and analyzes a typical application scenario of a water–wind–light combined power generation system. Then, a multi-objective optimization model is established, considering the two objectives of maximizing the joint generation and minimizing the system’s power fluctuation. Third, the adaptive fractional order calculus strategy is introduced, and a multi-objective pigeon swarm algorithm, which can adaptively adjust the fractional order according to the location information of a flock, is proposed. Finally, an optimization simulation is carried out. The simulation results show that the improved multi-objective pigeon swarm algorithm has better optimization accuracy. It provides a reference for the future implementation of hydropower stations, and the surrounding wind and photoelectric field joint dispatching strategy.

Suggested Citation

  • Kangping Wang & Pengjiang Ge & Naixin Duan & Jili Wang & Jinli Lv & Meng Liu & Bin Wang, 2023. "The Multi-Objective Optimal Scheduling of the Water–Wind–Light Complementary System Based on an Improved Pigeon Flock Algorithm," Energies, MDPI, vol. 16(19), pages 1-18, September.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:19:p:6787-:d:1246510
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    References listed on IDEAS

    as
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