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An Optimization Method for Local Consumption of Photovoltaic Power in a Facility Agriculture Micro Energy Network

Author

Listed:
  • Yuzhu Wang

    (College of Information and Electrical Engineering China Agricultural University, Beijing 100083, China)

  • Huanna Niu

    (College of Information and Electrical Engineering China Agricultural University, Beijing 100083, China)

  • Lu Yang

    (College of Information and Electrical Engineering China Agricultural University, Beijing 100083, China)

  • Weizhou Wang

    (State Grid Gansu Electric Power Research Institute, Lanzhou 730000, China)

  • Fuchao Liu

    (State Grid Gansu Electric Power Research Institute, Lanzhou 730000, China)

Abstract

In order to solve the problem of optimal dispatching of photovoltaic power for local consumption to the greatest degree in a photovoltaic greenhouse, this paper proposes a multiform energy optimal dispatching model and a solution algorithm. First, an input-output power model is established for energy storages which are reservoir, biogas digester, and block wall with phase-change thermal storage. Based on it, multiform energy storages play a bridging role of energy transfer in optimal energy dispatching. Subsequently, an optimal energy dispatching model is proposed with the objective of minimizing the sum of the squares of the difference between the loads and the photovoltaic generation in dispatching periods. Control variables are working state quantities of the time-shiftable loads and input-output state quantities of energy storages in dispatching periods. Finally, a genetic algorithm with matrix binary coding is used to solve the energy optimal dispatching model. Simulation results of a practical photovoltaic greenhouse facility agricultural micro energy network system in three typical weather conditions showed that the method could fully utilize the energy transfer function of the multiform energy storage and the time-shiftable characteristics of the agricultural load to achieve the maximum effect of increasing the local consumption of the photovoltaic power.

Suggested Citation

  • Yuzhu Wang & Huanna Niu & Lu Yang & Weizhou Wang & Fuchao Liu, 2018. "An Optimization Method for Local Consumption of Photovoltaic Power in a Facility Agriculture Micro Energy Network," Energies, MDPI, vol. 11(6), pages 1-20, June.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:6:p:1503-:d:151500
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    References listed on IDEAS

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    1. Cho, Heejin & Smith, Amanda D. & Mago, Pedro, 2014. "Combined cooling, heating and power: A review of performance improvement and optimization," Applied Energy, Elsevier, vol. 136(C), pages 168-185.
    2. Peacock, A.D. & Newborough, M., 2006. "Impact of micro-combined heat-and-power systems on energy flows in the UK electricity supply industry," Energy, Elsevier, vol. 31(12), pages 1804-1818.
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    Cited by:

    1. Ji, Zhengsen & Li, Wanying & Niu, Dongxiao, 2024. "Optimal investment decision of agrivoltaic coupling energy storage project based on distributed linguistic trust and hybrid evaluation method," Applied Energy, Elsevier, vol. 353(PA).
    2. Xiayun Duan & Yifeng Ding & Huanna Niu & Yuzhu Wang, 2019. "Analysis of the Day-ahead Deviation Plan and Research on the Real-time Scheduling of Photovoltaic Greenhouses Based on Exergy Theory," Energies, MDPI, vol. 12(20), pages 1-21, October.
    3. Yan Ren & Linmao Ren & Kai Zhang & Dong Liu & Xianhe Yao & Huawei Li, 2022. "Research on the Operational Strategy of the Hybrid Wind/PV/Small-Hydropower/Facility-Agriculture System Based on a Microgrid," Energies, MDPI, vol. 15(7), pages 1-15, March.
    4. Xin Zhang & Jianhua Yang & Weizhou Wang & Man Zhang & Tianjun Jing, 2018. "Integrated Optimal Dispatch of a Rural Micro-Energy-Grid with Multi-Energy Stream Based on Model Predictive Control," Energies, MDPI, vol. 11(12), pages 1-23, December.

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