Data-driven Estimation for a Region of Attraction for Transient Stability Using the Koopman Operator

作     者：Le Zheng Xin Liu Yanhui Xu Wei Hu Chongru Liu 

作者机构：the School of Electrical and Electronic EngineeringNorth China Electric Power UniversityBeijing 102206China Department of Electrical EngineeringTsinghua UniversityBeijing 100084China 

出 版 物：《CSEE Journal of Power and Energy Systems》 (中国电机工程学会电力与能源系统学报（英文）)

年 卷 期：2023年第9卷第4期

页      面：1405-1413页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 080802[工学-电力系统及其自动化] 0808[工学-电气工程] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Key R&D Program of China Response-driven intelligent enhanced analysis and control for bulk power system stability(2021YFB2400800) 

主　　题：Koopman operator lyapunov function power system transient stability region of attraction. 

摘      要：This paper presents a novel Koopman Operator based framework to estimate the region of attraction for power system transient stability *** Koopman eigenfunctions are used to numerically construct a Lyapunov *** the level set of the function is utilized to estimate the boundary of the region of *** method provides a systematic method to construct the Lyapunov function with data sampled from the state space,which suits any power system models and is easy to use compared to traditional Lyapunov direct *** addition,the constructed Lyapunov function can capture the geometric properties of the region of attraction,thus providing useful information about the instability *** method has been verified by a simple illustrative example and three power system models,including a voltage source converter interfaced system to analyze the large signal synchronizing instability induced by the phase lock loop *** proposed method provides an alternative approach to understanding the geometric properties and estimating the boundary of the region of attraction of power systems in a data driven *** Terms-Koopman operator,lyapunov function,power system transient stability,region of attraction.