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QBBT

June, 2025.

Data-Driven Power System Linear Model Identification via Quadrature-Based Balanced Truncation

Submission ID: 9597

IEEE Latin America Transactions

Authors: José Moreno Corbea (UNAM), Mario A. Paternina (UNAM), Joe Chow (RPI), Alejandro Zamora Mendez (UMSNH)

Thanks for using our development. We provide the implementation to identify Power System Linear Models via Quadrature-Based Balanced Truncation Approach by using the Power System Toolbox (PST) simulation software for Matlab.

Instructions:

To select the case study and open the folder corresponding to the system: "KRK power system" or "NETS-NYPS". To add the selected folder to the Matlab path. To open and execute, maintaining the indicated order, the files: "File1_Quatrature_BCC.m" "File2_quadrature_sorting.m" "File3_freq_extract.m" "File4_QBBT.m"

After executing "File4_QBBT.m", the matrices of the identified model will be saved in the "QBBT_model.mat" file.

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Data-Driven Power System Linear Model Identification via Quadrature-Based Balanced Truncation

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