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Multivariable Regression Equivalent Model of Interconnected Active Distribution Networks Based on Boundary Measurement

Author

Listed:
  • Anan Zhang

    (School of Electrical and Information Engineering, Southwest Petroleum University, Chengdu 610500, China)

  • Huang Huang

    (School of Electrical and Information Engineering, Southwest Petroleum University, Chengdu 610500, China)

  • Wei Yang

    (School of Electrical and Information Engineering, Southwest Petroleum University, Chengdu 610500, China)

  • Hongwei Li

    (School of Electrical and Information Engineering, Southwest Petroleum University, Chengdu 610500, China)

Abstract

With the increasing complexity of the active distribution network (ADN) due to distributed generation (DG) integration, together with the electricity market evolution, the traditional ADN is divided into multiple areas to operate independently. Due to technical problems or business privacy, the internal network regional control center cannot grasp the changes of the external regional network in time. In order to accurately reflect the distribution network operation state, a multivariable regression equivalent model is proposed in this paper. Firstly, the external network is made equivalent to a multi-port Norton model. The multivariable linear regression model is then derived based on the equivalent distribution network, and the regression model variables are constructed using boundary node information collected by the measurement equipment. Finally, the maximum likelihood estimation (MLE) is used to estimate the parameters of the multivariable linear regression model. Furthermore, case studies demonstrate the effectiveness and robustness of the proposed method, and detailed information of external ADN is unnecessary, except for the boundary node information. The proposed method can also be applied for three-phase unbalanced ADN efficiently.

Suggested Citation

  • Anan Zhang & Huang Huang & Wei Yang & Hongwei Li, 2019. "Multivariable Regression Equivalent Model of Interconnected Active Distribution Networks Based on Boundary Measurement," Energies, MDPI, vol. 12(12), pages 1-17, June.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:12:p:2339-:d:240978
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    References listed on IDEAS

    as
    1. Heng-Yi Su & Tzu-Yi Liu, 2017. "A PMU-Based Method for Smart Transmission Grid Voltage Security Visualization and Monitoring," Energies, MDPI, vol. 10(8), pages 1-16, July.
    2. Tiankui Sun & Zhimin Li & Shuang Rong & Jian Lu & Weixing Li, 2017. "Effect of Load Change on the Thevenin Equivalent Impedance of Power System," Energies, MDPI, vol. 10(3), pages 1-6, March.
    Full references (including those not matched with items on IDEAS)

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