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电力系统中的RTU测量非同步分析及其校正方法研究

林俊杰 陈冰冰 郭宜通 宋文超 江昌旭 陆超

电力系统保护与控制2025,Vol.53Issue(14):27-39,13.
电力系统保护与控制2025,Vol.53Issue(14):27-39,13.DOI:10.19783/j.cnki.pspc.240902

电力系统中的RTU测量非同步分析及其校正方法研究

Research on asynchronous analysis and correction method of RTU measurement in power systems

林俊杰 1陈冰冰 1郭宜通 1宋文超 2江昌旭 1陆超2

作者信息

  • 1. 福州大学电气工程与自动化学院,福建 福州 350108
  • 2. 新型电力系统运行与控制全国重点实验室(清华大学电机工程与应用电子技术系),北京 100086
  • 折叠

摘要

Abstract

The remote terminal unit(RTU)is the main measurement terminal in power grids,but its measurements lack a unified timestamp,has low update frequency,and is affected by uncertain transmission delays.In contrast,the phasor measurement unit(PMU)offers high synchronization and accuracy,and has become an important data acquisition device in modern power systems.To enable coordinated use of these two types of measurement data,this paper first summarizes the sources of RTU non-synchronous measurements and analyzes the influence of non-synchronous measurement data on state estimation and power flow calculation,with supporting verification results.A measurement data correlation analysis method is proposed based on energy interaction operator.The method applies the principle of maximum correlation among synchronous data and uses the accurate data from PMU to align RTU measurements,establishing a reference timestamp for hybrid measurement systems.Simulations on the IEEE 39-node grid and a real 83-node grid in Guangdong province show that the proposed method can effectively correct the non-synchronous measurement data and improve the accuracy of state estimation and power flow calculation.

关键词

同步相量测量单元/远程终端单元/电力系统/状态估计/潮流计算/数据对齐

Key words

phasor measurement unit/remote terminal unit/electric power system/state estimation/load flow calculation/data alignment

引用本文复制引用

林俊杰,陈冰冰,郭宜通,宋文超,江昌旭,陆超..电力系统中的RTU测量非同步分析及其校正方法研究[J].电力系统保护与控制,2025,53(14):27-39,13.

基金项目

This work is supported by the National Natural Science Foundation of China(No.52407087). 国家自然科学基金项目资助(52407087) (No.52407087)

新型电力系统运行与控制全国重点实验室开放基金课题资助(SKLD23KZ06) (SKLD23KZ06)

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