摘要
准确、有效地辨识电力系统主导振荡模式、主导振荡模态和参与因子等低频振荡特征参数,对深入探究电力系统低频振荡诱因、提出科学合理的振荡抑制措施具有重要价值。为此,该文提出一种基于最优变量投影(OVP)的电力系统主导振荡模式、模态和参与因子综合辨识方法。该方法采用有限差分法(FDM)预处理电力系统的广域量测信息;借助处理后的广域量测信息构建含系统关键动态振荡信息的低阶状态矩阵,进而从低阶状态矩阵中提取电力系统的关键振荡特征信息;结合广域量测信息和关键振荡特征信息构建变量投影函数,通过OVP对其进行求解,以辨识振荡模式及其模态;引入累积能量权重从所辨识的振荡模式及模态中分离电力系统的主导振荡模式及模态,并根据分离的主导振荡模态实现参与因子的评估。最后,通过IEEE68节点测试系统和中国南方电网公司算例对所提方法进行分析,验证了所提方法的准确性和有效性。
Estimating the accurate dynamic feature parameters of electromechanical oscillation,which include the dominant modes,mode shapes and participation factors,are very important for analyzing and damping the electromechanical oscillation in the bulk power grids.This paper develops a holistic assessment framework to estimate the dominant modes,mode shapes and participation factors from the synchrophasor measurements by using the optimized variable projection(OVP)in the power system.The synchrophasor measurements gathered from the PMUs is firstly preprocessed by finite difference method(FDM).Then,the preprocessed measurements are used to construct the low-order state matrix which contains the critical dynamic oscillation features of power systems.According to the constructed the low-order state matrix,the variable projection model is formulated,and the modes and mode shapes can be solved by optimized variable projection(OVP).For the estimated modes and mode shapes,cumulative energy weight of modes is developed to separate the dominant modes and their mode shapes of power systems from the estimated results.Further,the participation factors are estimated by using the separated dominant mode shapes.Finally,the proposed method is evaluated by the IEEE 68-bus test system as well as China Southern Power Grid.The results confirm that the proposed OVP based dynamic assessment approach performs great accuracy and effectiveness to estimate dominant modes and mode shapes from the synchrophasor measurements in bulk power grids.
作者
李雪
于洋
姜涛
陈厚合
李国庆
Li Xue;Yu Yang;Jiang Tao;Chen Houhe;Li Guoqing(Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education Northeast Electric Power University,Jilin 132012 China)
出处
《电工技术学报》
EI
CSCD
北大核心
2022年第1期165-178,共14页
Transactions of China Electrotechnical Society
基金
国家自然科学基金(51607034,51877033,52061635103)
国家重点研发计划(2016YFB0900903)资助项目。
关键词
同步相量量测
最优变量投影
主导振荡模式
主导振荡模态
参与因子
Synchrophasor measurements
optimized variable projection
dominant modes
dominant mode shapes
participation factors
