全球能源互联网（英文）2021，Vol.4Issue(1)：104-114,11.DOI:10.14171/j.2096-5117.gei.2021.01.010
基于数据驱动的电网弹性分析
Data-driven resilience analysis of power grids
Qicong Sun 1Yan Li 2Jason Philhower3
作者信息
- 1. School of Automation and Electrical Engineering, Beihang University, Beijing, 100010, P. R. China
- 2. Department of Electrical Engineering, The Pennsylvania State University, University Park, PA, 16802 USA
- 3. Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, 06269 USA
- 折叠
摘要
Abstract
With the integration of renewable energy resources, the inertia of power systems significantly reduces, thereby making the system sensitive to operational disturbances. A disturbance-based method is presented herein to estimate inertia, uncovering the influence of renewables on system-resilient operations. The Gaussian process regression method is then used to predict the power system trajectory after disturbance. Extensive tests demonstrate the data-driven method mathematically estimates the inertia of the system as well as predicts the dynamics operations of power grids subject to disturbances. Numerical results also offer insights into the enhancement of system resilience by strategically designing the inertia of power systems.关键词
惯量/数据驱动/高斯过程回归/可再生能源Key words
Inertia/Data-driven/Gaussian process regression/Renewable energy sources引用本文复制引用
Qicong Sun,Yan Li,Jason Philhower..基于数据驱动的电网弹性分析[J].全球能源互联网（英文）,2021,4(1):104-114,11.
