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Optimal Dispatch of Agricultural Integrated Energy System with Hybrid Energy Storage

Author

Listed:
  • Wu Yang

    (Linxia Power Branch of State Grid Gansu Electric Power Company, Linxia 731100, China)

  • Yi Xia

    (Linxia Power Branch of State Grid Gansu Electric Power Company, Linxia 731100, China)

  • Xijuan Yu

    (Linxia Power Branch of State Grid Gansu Electric Power Company, Linxia 731100, China)

  • Huifeng Zhang

    (Linxia Power Branch of State Grid Gansu Electric Power Company, Linxia 731100, China)

  • Xuming Lin

    (Linxia Power Branch of State Grid Gansu Electric Power Company, Linxia 731100, China)

  • Hongxia Ma

    (Linxia Power Branch of State Grid Gansu Electric Power Company, Linxia 731100, China)

  • Yuze Du

    (School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Haiying Dong

    (School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China)

Abstract

Rural energy is an important part of China’s energy system, and, as China’s agricultural modernization continues, integrated agricultural energy systems (AIES) will play an increasingly important role. However, most of China’s existing rural energy systems are inefficient, costly to run, and pollute the environment. Therefore, meeting various agricultural energy needs while balancing energy efficiency and costs is an important issue in the design and dispatch of integrated agricultural energy systems. In conjunction with hybrid energy storage (HES), which has been developed and matured in recent years, this paper proposes a new type of AIES structure and optimal dispatching strategy that incorporates HES, biogas generation ( BG ), P2G, and an electric boiler ( EB ) to provide new ideas for problem solving. Firstly, the structure of AIES is introduced and the mathematical model of the equipment of the system is described; then, an economic optimal dispatching model with the objective of minimizing the comprehensive operating costs of the system is established, and the output of each piece of energy conversion equipment is controlled to achieve the effect of improving the system’s operating performance and reducing the operating costs. The results show that the system with HES and multi-energy coupling equipment has a 20% lower overall cost, 23.2% lower environmental protection cost, and 51% higher energy efficiency than the original system; the stored power of energy storage equipment in the HES mode is primarily determined by the change in demand of the corresponding load, and the number of conversions between different energy sources is limited. The energy conversion loss is minimal.

Suggested Citation

  • Wu Yang & Yi Xia & Xijuan Yu & Huifeng Zhang & Xuming Lin & Hongxia Ma & Yuze Du & Haiying Dong, 2022. "Optimal Dispatch of Agricultural Integrated Energy System with Hybrid Energy Storage," Energies, MDPI, vol. 15(23), pages 1-12, December.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:9131-:d:991181
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    References listed on IDEAS

    as
    1. Ali, Fahad & Ahmar, Muhammad & Jiang, Yuexiang & AlAhmad, Mohammad, 2021. "A techno-economic assessment of hybrid energy systems in rural Pakistan," Energy, Elsevier, vol. 215(PA).
    2. Li, Guoqing & Zhang, Rufeng & Jiang, Tao & Chen, Houhe & Bai, Linquan & Cui, Hantao & Li, Xiaojing, 2017. "Optimal dispatch strategy for integrated energy systems with CCHP and wind power," Applied Energy, Elsevier, vol. 192(C), pages 408-419.
    3. Sen, Souvik & Ganguly, Sourav, 2017. "Opportunities, barriers and issues with renewable energy development – A discussion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1170-1181.
    4. Tan, Caixia & Yu, Min & Wang, Jing & Geng, Shiping & Niu, Dongxiao & Tan, Zhongfu, 2022. "Feasibility study on the construction of multi-energy complementary systems in rural areas—Eastern, central, and western parts of China are taken as examples," Energy, Elsevier, vol. 249(C).
    5. Li, Jiaxin & Wang, Zihan & Cheng, Xin & Shuai, Jing & Shuai, Chuanmin & Liu, Jing, 2020. "Has solar PV achieved the national poverty alleviation goals? Empirical evidence from the performances of 52 villages in rural China," Energy, Elsevier, vol. 201(C).
    6. Motaeb Eid Alshammari & Makbul A. M. Ramli & Ibrahim M. Mehedi, 2022. "Hybrid Chaotic Maps-Based Artificial Bee Colony for Solving Wind Energy-Integrated Power Dispatch Problem," Energies, MDPI, vol. 15(13), pages 1-26, June.
    7. Ahyahudin Sodri & Fentinur Evida Septriana, 2022. "Biogas Power Generation from Palm Oil Mill Effluent (POME): Techno-Economic and Environmental Impact Evaluation," Energies, MDPI, vol. 15(19), pages 1-16, October.
    8. Ding, Wenguang & Niu, Hewen & Chen, Jinsong & Du, Jun & Wu, Yang, 2012. "Influence of household biogas digester use on household energy consumption in a semi-arid rural region of northwest China," Applied Energy, Elsevier, vol. 97(C), pages 16-23.
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