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Communication reliability-restricted energy sharing strategy in active distribution networks

Author

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  • Chen, Lin
  • Wang, Jianxiao
  • Wu, Zhaoyuan
  • Li, Gengyin
  • Zhou, Ming
  • Li, Peng
  • Zhang, Yihan

Abstract

With the development of information and communication technology (ICT), massive distributed energy resources (DERs) are aggregated to share the surplus energy across a community. Contingencies on the communication side may lead to incorrect control commands, which could influence the physical operation of power systems. However, the existing literature has ignored the extent to which communication reliability (CR) influences energy sharing in active distribution networks (ADNs). Therefore, we propose a tri-layer framework integrating decision-making and a cyber-physical system (CPS). In this framework, a number of microgrids (MGs) aggregating demand-side energy and a communication base station (BS), are connected in an ADN. Due to the interference and noise among MGs, CR is modelled as a nonlinear function of the transmit power of the different BSs, which is linearized by the least-squares method and piecewise linear (PWL) technique. The proposed energy sharing scheme minimizes the overall distribution network costs considering DER sharing under the premise that each MG meets its physical and CR constraints. Case studies based on IEEE 33- and 141-bus feeder systems validate the effectiveness of the proposed framework and method. Adjustable BS transmit power and CR constraints could effectively reduce the total cost, and all MGs could share energy via reliable communication services.

Suggested Citation

  • Chen, Lin & Wang, Jianxiao & Wu, Zhaoyuan & Li, Gengyin & Zhou, Ming & Li, Peng & Zhang, Yihan, 2021. "Communication reliability-restricted energy sharing strategy in active distribution networks," Applied Energy, Elsevier, vol. 282(PB).
    • Handle: RePEc:eee:appene:v:282:y:2021:i:pb:s0306261920316329
    DOI: 10.1016/j.apenergy.2020.116238
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    References listed on IDEAS

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    1. Wang, Zibo & Yu, Xiaodan & Mu, Yunfei & Jia, Hongjie, 2020. "A distributed Peer-to-Peer energy transaction method for diversified prosumers in Urban Community Microgrid System," Applied Energy, Elsevier, vol. 260(C).
    2. Wang, Jianxiao & Zhong, Haiwang & Wu, Chenye & Du, Ershun & Xia, Qing & Kang, Chongqing, 2019. "Incentivizing distributed energy resource aggregation in energy and capacity markets: An energy sharing scheme and mechanism design," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    3. Zhang, Chenghua & Wu, Jianzhong & Zhou, Yue & Cheng, Meng & Long, Chao, 2018. "Peer-to-Peer energy trading in a Microgrid," Applied Energy, Elsevier, vol. 220(C), pages 1-12.
    4. Hui, Hongxun & Ding, Yi & Shi, Qingxin & Li, Fangxing & Song, Yonghua & Yan, Jinyue, 2020. "5G network-based Internet of Things for demand response in smart grid: A survey on application potential," Applied Energy, Elsevier, vol. 257(C).
    5. Long, Chao & Wu, Jianzhong & Zhou, Yue & Jenkins, Nick, 2018. "Peer-to-peer energy sharing through a two-stage aggregated battery control in a community Microgrid," Applied Energy, Elsevier, vol. 226(C), pages 261-276.
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    Cited by:

    1. Chong Shao & Bolin Zhang & Bo Wei & Wenfei Liu & Yong Yang & Zhaoyuan Wu, 2023. "A Health-Aware Energy Storage Sharing Mechanism for a Renewable Energy Base," Energies, MDPI, vol. 16(14), pages 1-22, July.
    2. Wang, Pengya & Wang, Jianxiao & Jin, Ruiyang & Li, Gengyin & Zhou, Ming & Xia, Qing, 2022. "Integrating biogas in regional energy systems to achieve near-zero carbon emissions," Applied Energy, Elsevier, vol. 322(C).
    3. Liu, Hong & Cao, Yuchen & Ge, Shaoyun & Xu, Zhengyang & Gu, Chenghong & He, Xingtang, 2022. "Load carrying capability of regional electricity-heat energy systems: Definitions, characteristics, and optimal value evaluation," Applied Energy, Elsevier, vol. 310(C).
    4. Shi, Qingxin & Li, Fangxing & Dong, Jin & Olama, Mohammed & Wang, Xiaofei & Winstead, Chris & Kuruganti, Teja, 2022. "Co-optimization of repairs and dynamic network reconfiguration for improved distribution system resilience," Applied Energy, Elsevier, vol. 318(C).
    5. Cui, Hongjun & Wang, Fei & Ma, Xinwei & Zhu, Minqing, 2022. "A novel fixed-node unconnected subgraph method for calculating the reliability of binary-state networks," Reliability Engineering and System Safety, Elsevier, vol. 226(C).

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