Research on Dynamic Modeling and Optimization of New Energy in Theoretical Power Loss Calculation for Distribution Networks

With the increasing integration of renewable energy sources into distribution networks, their intermittency and variability pose new challenges to the accuracy of theoretical power loss calculations. This paper establishes a dynamic mathematical model for renewable energy sources such as wind and photovoltaic systems, taking into account their time-series characteristics and voltage–power output correlations. Based on power flow analysis, the theoretical line losses of the distribution network are analyzed under dynamic conditions. Furthermore, an Improved Particle Swarm Optimization (IPSO) algorithm is introduced to solve the multi-period power loss minimization problem, ensuring compliance with system operation constraints. Simulation results demonstrate that the proposed method significantly improves the accuracy of power loss estimation and shows strong convergence performance and practical application potential under dynamic renewable conditions.