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Optimal Scheduling of the Wind-Photovoltaic-Energy Storage Multi-Energy Complementary System Considering Battery Service Life

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  • Yanpin Li

    (College of Energy and Power Engineering, North China University of Water Resources and Electronic Power, Zhengzhou 450045, China
    Henan Fluid Machinery Engineering Research Center, Zhengzhou 450045, China)

  • Huiliang Wang

    (College of Energy and Power Engineering, North China University of Water Resources and Electronic Power, Zhengzhou 450045, China
    Henan Fluid Machinery Engineering Research Center, Zhengzhou 450045, China)

  • Zichao Zhang

    (College of Energy and Power Engineering, North China University of Water Resources and Electronic Power, Zhengzhou 450045, China
    Henan Fluid Machinery Engineering Research Center, Zhengzhou 450045, China)

  • Huawei Li

    (College of Energy and Power Engineering, North China University of Water Resources and Electronic Power, Zhengzhou 450045, China)

  • Xiaoli Wang

    (College of Energy and Power Engineering, North China University of Water Resources and Electronic Power, Zhengzhou 450045, China
    Henan Fluid Machinery Engineering Research Center, Zhengzhou 450045, China)

  • Qifan Zhang

    (College of Energy and Power Engineering, North China University of Water Resources and Electronic Power, Zhengzhou 450045, China
    Henan Fluid Machinery Engineering Research Center, Zhengzhou 450045, China)

  • Tong Zhou

    (College of Energy and Power Engineering, North China University of Water Resources and Electronic Power, Zhengzhou 450045, China
    Henan Fluid Machinery Engineering Research Center, Zhengzhou 450045, China)

  • Peng Zhang

    (College of Energy and Power Engineering, North China University of Water Resources and Electronic Power, Zhengzhou 450045, China
    Henan Fluid Machinery Engineering Research Center, Zhengzhou 450045, China)

  • Fengxiang Chang

    (College of Energy and Power Engineering, North China University of Water Resources and Electronic Power, Zhengzhou 450045, China
    Henan Fluid Machinery Engineering Research Center, Zhengzhou 450045, China)

Abstract

Under the background of “peak carbon dioxide emissions by 2030 and carbon neutrality by 2060 strategies” and grid-connected large-scale renewables, the grid usually adopts a method of optimal scheduling to improve its ability to cope with the stochastic and volatile nature of renewable energy and to increase economic efficiency. This article proposes a short-term optimal scheduling model for wind–solar storage combined-power generation systems in high-penetration renewable energy areas. After the comprehensive consideration of battery life, energy storage units, and load characteristics, a hybrid energy storage operation strategy was developed. The model uses the remaining energy in the system after deducting wind PV and energy storage output as the “generalized load”. An improved particle swarm optimization (PSO) is used to solve the scheduling schemes of different running strategies under different objectives. The optimization strategy optimizes the battery life-loss coefficient from 0.073% to 0.055% under the target of minimizing the mean squared deviation of “generalized load”, which was optimized from 0.088% to 0.053% under the minimized fluctuation of combined system output and optimized from 0.092% to 0.081% under the minimized generation costs of the combined system. The results show that the model can ensure a stable operation of the combined system, and the operation strategy proposed in this article effectively reduces battery life loss while reducing the total power generation cost of the system. Finally, the superiority of the improved PSO algorithm was verified.

Suggested Citation

  • Yanpin Li & Huiliang Wang & Zichao Zhang & Huawei Li & Xiaoli Wang & Qifan Zhang & Tong Zhou & Peng Zhang & Fengxiang Chang, 2023. "Optimal Scheduling of the Wind-Photovoltaic-Energy Storage Multi-Energy Complementary System Considering Battery Service Life," Energies, MDPI, vol. 16(13), pages 1-17, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:13:p:5002-:d:1181194
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    References listed on IDEAS

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