基于近邻传播算法的电网峰值柔性负荷分析

Analysis of peak flexible load of power grid based on neighbor propagation algorithm

为了提高智能电网的安全性与稳定性,提出基于近邻传播算法的智能电网峰值柔性负荷聚类分析方法。通过判断电网峰值常规负荷曲线,对电网的最高负荷峰值进行计算,兼顾智能配电网负荷密度,确保电网峰值始终处于最优的供电状态。根据计算结果对电网运行电流和电压进行实时跟踪检测,保障智能电网峰值柔性负荷聚类的稳定性和有效性。最后通过实验证实,基于近邻传播算法的智能电网峰值柔性负荷聚类方法具有极高的稳定性和准确性,可以进一步保障电网的运行安全。

In order to improve the security and stability of smart grids,a clustering analysis method for peak flexible load of smart grids based on the neighborhood propagation algorithm is proposed.By judging the conventional peak load curve of the power grid,the maximum load peak of the power grid is calculated,and the load density of the intelligent distribution network is taken into consideration to ensure that the peak power grid is always in the optimal power supply state.Real-time tracking and detection of grid operating currents and voltages based on calculation results ensure the stability and effectiveness of peak flexible load clustering for smart grids.Finally,it is verified through experiments that the smart grid peak flexible load clustering method based on the nearest-neighbor propagation algorithm has extremely high stability and accuracy,which can further ensure the security of the grid operation.