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Optimization Method for Topology Identification of Port Microgrid Based on Line Disconnection

Author

Listed:
  • Yanmin Wang

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China)

  • Hanqing Zhang

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China)

  • Weiqi Zhang

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China)

  • Xiaoyong Wang

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
    CSCEC (Quanzhou) City Development Co., Ltd., Quanzhou 362000, China)

  • Jiaming Wang

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China)

Abstract

Regarding the static voltage stability issue of microgrids, by considering the control of line disconnections to enhance the system load margin, an identification and optimization approach for grid topology control measures based on the parameters of disconnected lines is put forward. Linear sensitivity is employed to scan and filter the measures; nonlinear fitting is utilized for ranking the measures; the leading control measures are calculated to determine the optimal line disconnection control measure. With the real lines and equipment conditions of LEKKI Port in Nigeria as a reference, experiments and simulations are conducted using ETAP and tested in the actual engineering of the port. The results indicate that the optimization method can significantly reduce the time required for load margin calculations in the project, and the effect of the method is similar to that of the traditional continuation power flow (CPFLOW) method. The method is more suitable for the application of online algorithms, which requires speed.

Suggested Citation

  • Yanmin Wang & Hanqing Zhang & Weiqi Zhang & Xiaoyong Wang & Jiaming Wang, 2025. "Optimization Method for Topology Identification of Port Microgrid Based on Line Disconnection," Energies, MDPI, vol. 18(3), pages 1-16, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:3:p:706-:d:1583029
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