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Kron Reduction Based on Node Ordering Optimization for Distribution Network Dispatching with Flexible Loads

Author

Listed:
  • Huihui Song

    (School of New Energy, Harbin Institute of Technology, Weihai 264209, China)

  • Linkun Han

    (State Grid Tai’an Electric Power Company, Tai’an 271000, China)

  • Yichen Wang

    (School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore)

  • Weifeng Wen

    (School of New Energy, Harbin Institute of Technology, Weihai 264209, China)

  • Yanbin Qu

    (School of New Energy, Harbin Institute of Technology, Weihai 264209, China)

Abstract

Kron reduction is a general tool of network simplification for flow calculation. With a growing number of flexible loads appearing in distribution networks, traditional Kron reduction cannot be widely used in control and scheduling due to the elimination of controllable and variable load buses. Therefore, this paper proposes an improved Kron reduction based on node ordering optimization whose principles guarantee that all the boundary nodes are retained eventually after eliminating the first row and the first column in every step according to the order, thereby making it possible to take full advantage of their potential to meet different requirements in power system calculation and dispatching. The proposed method is verified via simulation models of IEEE 5-bus and 30-bus systems through illustrating the dynamic consistency of the output active power of the generator nodes and the power flow data of preserved nodes before and after reduction.

Suggested Citation

  • Huihui Song & Linkun Han & Yichen Wang & Weifeng Wen & Yanbin Qu, 2022. "Kron Reduction Based on Node Ordering Optimization for Distribution Network Dispatching with Flexible Loads," Energies, MDPI, vol. 15(8), pages 1-14, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:8:p:2964-:d:796542
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    References listed on IDEAS

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    1. Xu, Bin & Luo, Yuemei & Xu, Renjing & Chen, Jianbao, 2021. "Exploring the driving forces of distributed energy resources in China: Using a semiparametric regression model," Energy, Elsevier, vol. 236(C).
    2. Hlalele, Thabo G. & Zhang, Jiangfeng & Naidoo, Raj M. & Bansal, Ramesh C., 2021. "Multi-objective economic dispatch with residential demand response programme under renewable obligation," Energy, Elsevier, vol. 218(C).
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    Cited by:

    1. Guoxing Yu & Huihui Song & Meng Liu & Zongxun Song & Yanbin Qu, 2022. "Distributed Weight Adaptive Control for Frequency Regulation of Islanded Microgrid," Energies, MDPI, vol. 15(11), pages 1-16, June.

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