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Buildings-to-distribution-network integration considering power transformer loading capability and distribution network reconfiguration

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  • Zhang, Yin
  • Qian, Tong
  • Tang, Wenhu

Abstract

A novel buildings-to-distribution-network integration framework is developed in this paper. The joint objective of the proposed framework is to schedule flexible resources, so that the overall performance is optimized regarding the safe operation of transformers, the thermal comfort of building occupants, and the energy savings of distribution network. To fulfill the joint objective, buildings are coupled to the distribution network via transformers and power balance constraints firstly. Then, the integrated energy system is optimized considering the operation constraints of distribution lines, various devices, and flexible resources. Afterwards, the safe operation of transformers is analyzed, and the maximum allowable load ratios of transformers are adjusted according to the analysis. After that, the reconfiguration of distribution network is utilized to optimize the scheduling control of flexible resources for the coordination of the safe operation of transformers and the thermal comfort of building occupants. Simulation results on three case studies demonstrate that the scheduling problems of flexible resources, introduced by the contradiction between the safe operation of transformers and the thermal comfort of building occupants, can be fully dealt with the reconfiguration of distribution network. Simulation results also show that the gap in the joint objective values between the developed framework and its baseline counterpart are all within 0.5%, further verifying the effectiveness of the developed framework.

Suggested Citation

  • Zhang, Yin & Qian, Tong & Tang, Wenhu, 2022. "Buildings-to-distribution-network integration considering power transformer loading capability and distribution network reconfiguration," Energy, Elsevier, vol. 244(PB).
    • Handle: RePEc:eee:energy:v:244:y:2022:i:pb:s036054422200007x
    DOI: 10.1016/j.energy.2022.123104
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    Cited by:

    1. Shen, Yueqing & Qian, Tong & Li, Weiwei & Zhao, Wei & Tang, Wenhu & Chen, Xingyu & Yu, Zeyuan, 2023. "Mobile energy storage systems with spatial–temporal flexibility for post-disaster recovery of power distribution systems: A bilevel optimization approach," Energy, Elsevier, vol. 282(C).
    2. Li, J.Y. & Chen, J.J. & Wang, Y.X. & Chen, W.G., 2024. "Combining multi-step reconfiguration with many-objective reduction as iterative bi-level scheduling for stochastic distribution network," Energy, Elsevier, vol. 290(C).
    3. Li, Weiwei & Qian, Tong & Zhang, Yin & Shen, Yueqing & Wu, Chenghu & Tang, Wenhu, 2023. "Distributionally robust chance-constrained planning for regional integrated electricity–heat systems with data centers considering wind power uncertainty," Applied Energy, Elsevier, vol. 336(C).
    4. Xie, Xuehua & Qian, Tong & Li, Weiwei & Tang, Wenhu & Xu, Zhao, 2024. "An individualized adaptive distributed approach for fast energy-carbon coordination in transactive multi-community integrated energy systems considering power transformer loading capacity," Applied Energy, Elsevier, vol. 375(C).

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