大规模风电集中接入电网的自组织临界态辨识指标提取

Extraction of Physical Indicators to Identify Grid Self-Organized Critical State With Centralized Large-Scale Wind Power

大规模风电接入电网后,极大地改变了电网的网络结构和潮流分布,尤其是其出力大小的波动,直接加剧了电网趋于自组织临界态的进程,电网发生负荷丢失的连锁故障风险随之上升。在深入分析含大规模风电集中接入对电网自组织临界态影响的基础上,提出了风电波动熵概念,以表征大规模风电集中接入对电网自组织临界态的影响。通过仿真分析可知,所提出的风电波动熵指标能够很好地表征含大规模风电集中接入对电网自组织临界态的影响,可作为含大规模风电集中接入的电网自组织临界态辨识的物理指标之一。

Large-scale grid-connected wind power greatly changes power grid network structure and power flow distribution, especially, fluctuations of wind power directly aggravates power grid＇s tendency to self-organization critical state, and cascading grid failure risk also increases. After deeply analyzing influence of large-scale grid-connected wind power on self-organized criticality evolution process of power grid, wind power fluctuations entropy is proposed to characterize effect of large-scale grid-connected wind power on self-organized criticality evolution of power grid. Simulation analysis proves that the proposed entropy can well characterize effect of large-scale grid-connected wind power on selforganized criticality evolution of power grid, and can be used as one of physical indicators of grid self-organized critical state identification with large scale wind power.