电测与仪表2018，Vol.55Issue(1)：34-39,6.
基于WAMS和曲线相似的同调机群识别方法
Coherent generator groups identification method based on WAMS and curve similarity
摘要
Abstract
This paper proposed a new method to recognize coherent generator groups based on curve similarity in power system.Firstly,the real-time perturbed trajectory of rotor angle is used as an original data,which can be obtained from wide-area measurement system (WAMS).According to the definition of discrete curve similarity,the power angle trajectory of each generator is divided into several sections.The method uses genetic algorithm to determine the best similarity distance between track segments,which can keep the local features of the track segments.Then,all segment similarity distances are integrated into overall similarity between generators.The overall similarity is taken as clustering index.Then,with the hierarchical clustering method,it can achieve clustering coherent generators in multimachine system.This method is simple and feasible,and is not restricted by the parameters of the system model and the fault type.Finally,the simulation analysis results of IEEE39 node system show that the proposed method is effective.关键词
广域量测系统/电力系统/同调机群/曲线相似Key words
wide area measurement system (WAMS)/power system/coherent generator groups/curve similarity分类
信息技术与安全科学引用本文复制引用
徐甜,罗萍萍,余快..基于WAMS和曲线相似的同调机群识别方法[J].电测与仪表,2018,55(1):34-39,6.基金项目
国家自然科学基金资助项目(51607112) （51607112）
