A measurement-based approach for power system instability early warning

作     者：Feifei Bai Yong Liu Yilu Liu Kai Sun Navin Bhatt Alberto Del Rosso Evangelos Farantatos Xiaoru Wang 

作者机构：Southwest Jiaotong UniversityChengduSichuan 610031China University of TennesseeKnoxvilleTN 37996USA Oak Ridge National Laboratory1 Bethel Valley RdOak RidgeTN 37831USA Electrical Power Research InstitutePalo AltoCA 94304USA. 

出 版 物：《Protection and Control of Modern Power Systems》 (现代电力系统保护与控制（英文）)

年 卷 期：2016年第1卷第1期

页      面：17-25页

学科分类：0820[工学-石油与天然气工程] 0808[工学-电气工程] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by Electric Power Research Institute and also made use of Engineering Research Center Shared Facilities supported by the DOE under NSF Award Number EEC1041877 and the CURENT Industry Partnership Program 

主　　题：Autoregressive exogenous model Accuracy index Dynamic response estimation Instability early warning Measurement-based 

摘      要：Early warning of impending instability in a power system under disturbance conditions is important for preventing of system collapse.A measurement-based approach is proposed to assess the potential power system transient instability problem under cascading *** a measurement-based index is obtained as the estimation accuracy of a linear autoregressive exogenous(ARX)model to estimate the dynamic response of the power system and indicate the system stability to some extent after a *** proposed approach was verified using a set of marginally stable cases in a 179-bus WECC equivalent power *** the instability early warning threshold for this system is obtained as 0.44.