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

Yanmin Wang (), Hanqing Zhang, Weiqi Zhang (), Xiaoyong Wang and Jiaming Wang
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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
Jiaming Wang: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China

Energies, 2025, vol. 18, issue 3, 1-16

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.

Keywords: line disconnection; microgrid for port; load margin; linear sensitivity; nonlinear fitting (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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