中国电机工程学报2024，Vol.44Issue(24)：9533-9545,中插3,14.DOI:10.13334/j.0258-8013.pcsee.231995
基于时空多视图学习算法的PMU电压数据重构方法
PMU Voltage Data Reconstruction Method Based on Spatiotemporal Multi-view Learning Algorithm
摘要
Abstract
Phasor measurement units(PMU)have the advantages of good synchronization,high resolution,direct phase angle measurement,etc.It is an important information source for realizing on-line real-time state perception of power systems.However,due to the influence of equipment failure,climate interference,communication problems and other factors,PMU data in the actual power grid are prone to data loss and anomalies,which will interfere with the subsequent advanced power grid applications based on PMU data,thereby affecting the reliability of power grid state perception and operation scheduling.Four kinds of low-quality data are summarized by analyzing the PMU data measured in the field,and the operating state of the system is identified by using mechanism analysis and correlation analysis methods.Then,combining the multi-view learning method with the power grid operation mechanism,a preliminary multi-view data reconstruction algorithm based on spatio-temporal information feature fusion is proposed to reconstruct the low-quality and missing PMU data.Finally,according to the characteristics of different running states of the system,the low quality data are identified by using different views to generate data,and an adaptive weighted missing data reconstruction method based on historical data is proposed.Simulation and measured data show that this method can effectively identify and reconstruct PMU low quality data in real time,which provides effective guarantee for the application of PMU data in power systems.关键词
同步相量量测数据/低质量数据/系统运行状态辨识/多视图学习法/数据重构Key words
phasor measurement unit data/low quality data/system running status identification/multi-view-based learning method/data reconstruction分类
信息技术与安全科学引用本文复制引用
林俊杰,涂明权,朱利鹏,宋文超,陆超..基于时空多视图学习算法的PMU电压数据重构方法[J].中国电机工程学报,2024,44(24):9533-9545,中插3,14.基金项目
福建省自然科学基金项目(2021J05134) （2021J05134）
新型电力系统运行与控制全国重点实验室开放基金课题(SKLD23KZ06).Natural Science Foundation of Fujian Province(2021J05134) （SKLD23KZ06）
State Key Laboratory of Power System Operation and Control(SKLD23KZ06). （SKLD23KZ06）
