This invention provides a method for
dynamic capacity expansion micro-meteorological
simulation of transmission lines, belonging to the field of power
system technology. The method includes: extracting features from
wind field simulation data under different operating conditions based on intrinsic
orthogonal decomposition to obtain corresponding
modes and constructing a
wind field order reduction model; using
wind field data from sparse monitoring points as constraints, solving for the weight coefficients of each mode using the
least squares method to reconstruct the baseline wind field for the entire line; calculating and correcting the local wind field error at non-monitoring points based on the deviation between the measured wind
field data from monitoring points and the reconstructed baseline wind field, thus obtaining the wind field for the entire line; identifying dynamic thermal
bottleneck points and determining the maximum allowable current
carrying capacity based on the
wind speed at these
bottleneck points. Beneficial effects: Through offline physical cost reduction, online sparse reconstruction, and residual correction, a limited number of monitoring points can accurately invert the complex wind field of the entire line, achieving low-cost, high-precision micro-meteorological spatiotemporal
simulation of transmission lines and improving the
safety margin for
dynamic capacity expansion.