Automatic Modeling Technology of Low-Voltage Distributed Photovoltaic Networks Based on Account Information k-Connected Topology

Abstract

The rapid increase in distributed photovoltaic (PV) generation worldwide demands more efficient large-scale modeling methods. This study investigates an automatic modeling technique for low-voltage distributed PV network topology based on ledger information. By analyzing PV system ledger data, we construct and automatically generate the topology model using automated algorithms. Our data-driven method and complex network theory-based algorithm improve system resilience and operational efficiency. Experimental results validate the effectiveness of our approach. Future research will focus on optimizing these algorithms and evaluating their applicability across various scenarios to support optimal PV system regulation and control.