交直流混合电网仿真初始化方法

为了提高大规模交直流混合电网的初始化稳定收敛速度，采用人工神经网络拟合复杂的阻抗、谐波、控制特性，然后将其嵌套进基于改进节点法的三相基波潮流计算框架中进行迭代修正。为了提高大规模交直流混合电网的初始化效率，提出了基于多端口等值的并行初始化计算方法。分别采用含光伏电站的IEEE 33节点和330节点交直流混合电网算例进行仿真，验证了所提方法的有效性。

Simulation Initialization Method for AC/DC Hybrid Power Grid

In order to improve the initialization stability and convergence speed of large-scale AC / DC hybrid power grid, the artificial neural network is used to fit its complex impedance, harmonic, and control characteristics, and then nested into the three-phase fundamental power flow calculation framework based on the improved node method for iterative correction. At the same time, in order to improve the initialization efficiency of large-scale AC / DC hybrid power grid, a parallel initialization calculation method based on multi-port equivalence is proposed. The simulation results of IEEE33 bus and 330 bus AC / DC hybrid power grid with photovoltaic power stations are used to verify the effectiveness of the proposed method.