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Distributionally robust operation for integrated rural energy systems with broiler houses

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  • Tan, Hong
  • Yan, Wei
  • Ren, Zhouyang
  • Wang, Qiujie
  • Mohamed, Mohamed A.

Abstract

The integrated energy system (IES) can improve energy efficiency by unified planning and operation of multiple heterogeneous energy sources. However, the existing research mainly focuses on the IES in urban areas. This paper introduces the broiler house and biogas digester into the IES and proposes a distributionally robust dispatch model for the integrated rural energy system with broiler houses (IRES-BH). The heat demand model of the broiler house is first built according to the thermal equivalent circuit of the broiler house and the heat radiation of the broiler flock. Then, the electricity demand model of the broiler house is derived based on the ventilation requirements of the broiler flock and the performance parameters of the fans. Furthermore, the gas production rate model of the biogas digester is suggested according to the relationship between the biogas production rate and the fermentation temperature. Finally, a day-ahead dispatch model of the IRES-BH is formulated based on the Kullback-Leibler divergence constrained distributionally robust optimization and the solution methodology of the dispatch model is proposed. Two cases of different scales verify the effectiveness of the proposed model.

Suggested Citation

  • Tan, Hong & Yan, Wei & Ren, Zhouyang & Wang, Qiujie & Mohamed, Mohamed A., 2022. "Distributionally robust operation for integrated rural energy systems with broiler houses," Energy, Elsevier, vol. 254(PC).
    • Handle: RePEc:eee:energy:v:254:y:2022:i:pc:s0360544222013019
    DOI: 10.1016/j.energy.2022.124398
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    1. Niknam, Taher & Azizipanah-Abarghooee, Rasoul & Narimani, Mohammad Rasoul, 2012. "An efficient scenario-based stochastic programming framework for multi-objective optimal micro-grid operation," Applied Energy, Elsevier, vol. 99(C), pages 455-470.
    2. Michalak, Piotr, 2014. "The simple hourly method of EN ISO 13790 standard in Matlab/Simulink: A comparative study for the climatic conditions of Poland," Energy, Elsevier, vol. 75(C), pages 568-578.
    3. Liu, Xuezhi & Wu, Jianzhong & Jenkins, Nick & Bagdanavicius, Audrius, 2016. "Combined analysis of electricity and heat networks," Applied Energy, Elsevier, vol. 162(C), pages 1238-1250.
    4. Wang, Yongli & Wang, Yudong & Huang, Yujing & Yang, Jiale & Ma, Yuze & Yu, Haiyang & Zeng, Ming & Zhang, Fuwei & Zhang, Yanfu, 2019. "Operation optimization of regional integrated energy system based on the modeling of electricity-thermal-natural gas network," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    5. Mohamed, Mohamed A., 2022. "A relaxed consensus plus innovation based effective negotiation approach for energy cooperation between smart grid and microgrid," Energy, Elsevier, vol. 252(C).
    6. Raya-Armenta, Jose Maurilio & Bazmohammadi, Najmeh & Avina-Cervantes, Juan Gabriel & Sáez, Doris & Vasquez, Juan C. & Guerrero, Josep M., 2021. "Energy management system optimization in islanded microgrids: An overview and future trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    7. Zhang, Menglin & Wu, Qiuwei & Wen, Jinyu & Lin, Zhongwei & Fang, Fang & Chen, Qun, 2021. "Optimal operation of integrated electricity and heat system: A review of modeling and solution methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    8. Tan, Hong & Yan, Wei & Ren, Zhouyang & Wang, Qiujie & Mohamed, Mohamed A., 2022. "A robust dispatch model for integrated electricity and heat networks considering price-based integrated demand response," Energy, Elsevier, vol. 239(PA).
    9. Skalyga, Mikhail & Wu, Qiuwei & Zhang, Menglin, 2021. "Uncertainty-fully-aware coordinated dispatch of integrated electricity and heat system," Energy, Elsevier, vol. 224(C).
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