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An Optimal Allocation Method of Distributed PV and Energy Storage Considering Moderate Curtailment Measure

Author

Listed:
  • Gang Liang

    (School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China)

  • Bing Sun

    (School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China)

  • Yuan Zeng

    (School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China)

  • Leijiao Ge

    (School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China)

  • Yunfei Li

    (State Grid Tianjin Electric Power Co., Ltd., Tianjin 300300, China)

  • Yu Wang

    (State Grid Tianjin Electric Power Co., Ltd., Tianjin 300300, China)

Abstract

Increasing distributed generations (DGs) are integrated into the distribution network. The risk of not satisfying operation constraints caused by the uncertainty of renewable energy output is increasing. The energy storage (ES) could stabilize the fluctuation of renewable energy generation output. Therefore, it can promote the consumption of renewable energy. A distributed photovoltaic (PV) and ES optimal allocation method based on the security region is proposed. Firstly, a bi-level optimal allocation model of PV and ES is established. The outer layer is a nonlinear optimization model, taking the maximum power supply benefit as the objective function. The inner layer is a day-ahead economic dispatching model. Then, a quick model solving method based on the steady-state security region is proposed. An initial allocation scheme of PV and ES is determined with the redundancy capacity. In addition, the linear hyperplane coefficient of the security region is used to convert the nonlinear day-ahead economic dispatching model into a linear one. Finally, the proposed method is used to analyze the improved IEEE 33-node system. It is found that a moderate curtailment measure of distributed PV peak output and the allocation of energy storage have a significant effect on the power supply benefit of the distribution system. The optimal quota capacity of DG exceeds the sum of the maximum load and the branch capacity. In addition, the optimal allocation scheme is closely related to the cost and technical parameters of distributed PV and ES. Dynamic allocation schemes should be formulated for distribution network.

Suggested Citation

  • Gang Liang & Bing Sun & Yuan Zeng & Leijiao Ge & Yunfei Li & Yu Wang, 2022. "An Optimal Allocation Method of Distributed PV and Energy Storage Considering Moderate Curtailment Measure," Energies, MDPI, vol. 15(20), pages 1-19, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7690-:d:946000
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    References listed on IDEAS

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    Cited by:

    1. Jinhua Zhang & Liding Zhu & Shengchao Zhao & Jie Yan & Lingling Lv, 2023. "Optimal Configuration of Energy Storage Systems in High PV Penetrating Distribution Network," Energies, MDPI, vol. 16(5), pages 1-21, February.
    2. Wang, Kai & Peng, Jinqing & Li, Sihui & Li, Houpei & Zou, Bin & Ma, Tao & Ji, Jie, 2024. "Compressor speed control for optimizing energy matching of PV-driven AC systems during the cooling season," Energy, Elsevier, vol. 298(C).
    3. Daniele Cocco & Lorenzo Lecis & Davide Micheletto, 2023. "Life Cycle Assessment of an Integrated PV-ACAES System," Energies, MDPI, vol. 16(3), pages 1-18, February.

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