This invention provides a method and
system for deriving a
power grid simulation calculation
database. It acquires the original
power grid simulation PSD-BPA calculation
database file, accurately locates target areas and
interconnection channel data, and uses Python to automatically parse the PSD-BPA
database model and identify equipment parameters.
Spreadsheet software is used to classify and organize data, optimize and merge nodes, and verify parameters. Based on planning requirements, the
data model is dynamically adjusted using a dual-mode approach (multiple files or single file), and regional loads are scientifically allocated using capacity proportion or incremental allocation methods. Typical operating mode values are calculated by setting
zoning coefficients. The invention innovatively integrates
power balance prediction and reactive power hierarchical
zoning optimization, and iterative calculations are used to ensure database convergence and
voltage qualification rate, ultimately automatically generating a high-precision derived database for multiple scenarios. This method achieves
fully automated processing, significantly improving
data quality and
simulation efficiency, and providing strong support for
power grid planning decisions.