数据视角下的电力系统暂态稳定边界分析

随着泛在电力物联网的提出，基于数据挖掘的电力系统分析将在能源互联网的建设中发挥越来越重要的作用。同时临界暂态稳定的边界问题是评价电力系统暂态稳定性的核心问题之一，当前在暂态稳定评估时，常常由于无法对电网临界状态给出准确判断，使安全评估存在模糊区域。为此从数据分析的角度，展开电力系统临界暂态稳定边界特征提取的相关研究。首先基于暂态稳定单机模型及能量函数，刻画分析电力系统临界暂态稳定的边界现象；然后基于BPA自动仿真程序解决了暂态稳定数据样本生成问题；最后完成了"源-网"输入特征的选择及输入特征相关性分析，并利用IEEE-39母线系统完成验证。

Power System Transient Stability Boundary Analysis From the Perspective of Data

With the introduction of the ubiquitous power Internet of Things, power system analysis based on data mining will play an increasingly important role in the construction of the energy internet. The boundary problem of critical transient stability is one of the core issues in evaluating the transient stability of power systems. At present, in the transient stability assessment, it is often impossible to give an accurate judgment on the critical state of the grid, so that there is a fuzzy area in the safety assessment. From the perspective of data analysis, the related research on the feature extraction of critical transient stability boundary of power system was carried out. Based on the transient stability single machine model and energy function, the boundary phenomenon of critical transient stability of power system was characterized. Then, based on the BPA automatic simulation program, the transient stable data sample generation problem was solved. Finally, the selection of the input characteristics of the "source-network" and the correlation analysis of the input features were completed, and the verification was completed by the IEEE-39 node system.