An Extended Model Approach to Study the Power Flow Analysis of Complex Power Systems

This paper focuses on the reconfigurability of power system extension models and improves the adaptability of radiation distribution network schemes to complex power networks. The existing Newton–Raphson based solutions face difficulties in reconstructing dynamics, often failing to converge or requiring high initial condition settings in extended systems. For the IEEE 30-bus system, based on node-provided data, we optimized the Newton–Raphson algorithm model for practical complex power systems. The novel optimization algorithm leverages multi-radiation power grid reconfiguration, significantly reducing dependencies on optimization time and initial state reconstruction. The results verify the effectiveness of the model and algorithm.