A coherent generator group identification algorithm under extreme conditions  

作　　者：Yizhe Zhu Yulin Chen Li Li Donglian Qi Jinhua Huang Xudong Song 

机构地区：[1]Polytechnic Institute,Zhejiang University,Hangzhou 310015,PR China [2]Hainan Institute,Zhejiang University,Sanya 572025,PR China [3]College of Electrical Engineering,Zhejiang University,Hangzhou 310027,PR China [4]Guangdong Provincial Key Laboratory of Electric Power Equipment Reliability,Guangzhou 510062,PR China [5]Key Laboratory of Power Grid Automation of China Southern Power Grid Co,Ltd.,Guangzhou 510000,PR China [6]Electric Power Research Institute of Guangdong Power Grid Co.,Ltd.,Guangzhou 510000,PR China

出　　处：《Global Energy Interconnection》2025年第1期92-105,共14页全球能源互联网(英文版)

基　　金：supported by National Natural Science Foundation of China(Grant No:52477133);Science and Technology Project of China Southern Power Grid(Grant No.GDKJXM20231178(036100KC23110012);GDKJXM20240389(030000KC24040053));Sanya Yazhou Bay Science and Technology City(Grant No:SKJC-JYRC-2024-66).

摘　　要：With the rapid development of large-scale regional interconnected power grids,the risk of cascading failures under extreme condi-tions,such as natural disasters and military strikes,has increased significantly.To enhance the response capability of power systems to extreme events,this study focuses on a method for generator coherency detection.To overcome the shortcomings of the traditional slow coherency method,this paper introduces a novel coherent group identification algorithm based on the theory of nonlinear dynam-ical systems.By analyzing the changing trend of the Euclidean norm of the state variable derivatives in the reduced system,the algorithm can accurately identify the magnitude of the disturbances.Based on the slow coherency methods,the algorithm can correctly recognize coherent generator groups by analyzing system characteristics under varying disturbance magnitudes.This improvement enhances the applicability and accuracy of the coherency detection algorithm under extreme conditions,providing support for emergency control and protection in the power system.Simulations and comparison analyses on IEEE 39-bus system are conducted to validate the accuracy and superiority of the proposed coherent generator group identification method under extreme conditions.

关 键 词：Generator grouping Slow coherency method Nonlinear dynamical system BCU method Energy function 

分 类 号：TM31[电气工程—电机] TP18[自动化与计算机技术—控制理论与控制工程]