Line Loss Calculation with Meteorological Dynamic Clustering and Photovoltaic Output Reconstruction

To solve the problem that traditional line loss calculation methods have errors exceeding 8–12% under complex weather conditions (e.g., typhoons) due to insufficient characterization of meteorological-photovoltaic (PV) coupling effects, this paper proposes a collaborative calculation method integrating dynamic meteorological clustering (based on the entropy weight-sliding window) and PV output reconstruction (via improved limited dynamic time warping, LDTW). First, a multidimensional meteorological weight matrix is constructed to quantify spatiotemporal heterogeneity; then, an improved spectral clustering algorithm is used for weather partitioning; finally, reconstructed PV output curves are incorporated into a voltage-corrected forward-backward sweep method for line loss calculation. Simulation results based on 302-day measured data and the IEEE 33-node system show that the proposed method reduces line loss calculation error to less than 0.15%, which is 6–8 times more accurate than traditional methods, meeting engineering requirements.