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Distribution Network Hierarchically Partitioned Optimization Considering Electric Vehicle Orderly Charging with Isolated Bidirectional DC-DC Converter Optimal Efficiency Model

Author

Listed:
  • Qiushi Zhang

    (College of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

  • Jian Zhao

    (College of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

  • Xiaoyu Wang

    (College of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

  • Li Tong

    (State Grid Zhejiang Electric Power Research Institute, Hangzhou 310006, China)

  • Hang Jiang

    (State Grid Zhejiang Electric Power Research Institute, Hangzhou 310006, China)

  • Jinhui Zhou

    (State Grid Zhejiang Electric Power Research Institute, Hangzhou 310006, China)

Abstract

The access of large-scale electric vehicles (EVs) will increase the network loss of medium voltage distribution network, which can be alleviated by adjusting the network structure and orderly charging for EVs. However, it is difficult to accurately evaluate the charging efficiency in the orderly charging of electric vehicle (EV), which will cause the scheduling model to be insufficiently accurate. Therefore, this paper proposes an EV double-layer scheduling model based on the isolated bidirectional DC–DC (IBDC) converter optimal efficiency model, and establishes the hierarchical and partitioned optimization model with feeder–branch–load layer. Firstly, based on the actual topology of medium voltage distribution network, a dynamic reconfiguration model between switching stations is established with the goal of load balancing. Secondly, with the goal of minimizing the branch layer network loss, a dynamic reconstruction model under the switch station is established, and the chaotic niche particle swarm optimization is proposed to improve the global search capability and iteration speed. Finally, the power transmission loss model of IBDC converter is established, and the optimal phase shift parameter is determined to formulate the double-layer collaborative optimization operation strategy of electric vehicles. The example verifies that the above model can improve the system load balancing degree and reduce the operation loss of medium voltage distribution network.

Suggested Citation

  • Qiushi Zhang & Jian Zhao & Xiaoyu Wang & Li Tong & Hang Jiang & Jinhui Zhou, 2021. "Distribution Network Hierarchically Partitioned Optimization Considering Electric Vehicle Orderly Charging with Isolated Bidirectional DC-DC Converter Optimal Efficiency Model," Energies, MDPI, vol. 14(6), pages 1-20, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1614-:d:516845
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    References listed on IDEAS

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    1. Saad Ullah Khan & Khawaja Khalid Mehmood & Zunaib Maqsood Haider & Muhammad Kashif Rafique & Muhammad Omer Khan & Chul-Hwan Kim, 2021. "Coordination of Multiple Electric Vehicle Aggregators for Peak Shaving and Valley Filling in Distribution Feeders," Energies, MDPI, vol. 14(2), pages 1-16, January.
    2. Teketay Mulu Beza & Yen-Chih Huang & Cheng-Chien Kuo, 2020. "A Hybrid Optimization Approach for Power Loss Reduction and DG Penetration Level Increment in Electrical Distribution Network," Energies, MDPI, vol. 13(22), pages 1-17, November.
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    Cited by:

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    2. Rupesh Jha & Mattia Forato & Satya Prakash & Hemant Dashora & Giuseppe Buja, 2022. "An Analysis-Supported Design of a Single Active Bridge (SAB) Converter," Energies, MDPI, vol. 15(2), pages 1-22, January.

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