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| Content Provider | IET Digital Library |
|---|---|
| Author | Xue, Ancheng Kong, He Lao, Yongzhao Xu, Feiyang Wang, Li Wei, Guoen Shi, Bonian Leng, Shuang Bi, Tianshu |
| Abstract | The synchronised phasor measurement units (PMUs), serving as ‘GridEye’, provide data that improve the observability and controllability of the power grid due to its high accuracy and high-upload rate. However, missing or abnormal data may seriously affect its applications. This study proposes a method to recover the missing or abnormal amplitude data in PMU measurements (i.e. the active power, reactive power, positive sequence current, and voltage amplitude), based on the historical PMU data obtained from both ends of the line, which is independent of the transmission line parameters and the phase angle that may be influenced by synchronisation. First, the issues in the quality of measured PMU data are analysed, and the motivation of the proposed method is stated. Then, a method to screen out the bad data from the historical data is proposed based on the density-based spatial clustering of applications with noise. Furthermore, the model of data recovery is established, and the recovery method, which recovers the voltage amplitude, active power, reactive power, and current amplitude in sequence, using historical amplitude data to calculate related recovery coefficients is proposed. Finally, the effectiveness and practicability of the proposed method are verified by examples of simulation and measured data. |
| Starting Page | 5746 |
| Ending Page | 5755 |
| Page Count | 10 |
| ISSN | 17518687 |
| Volume Number | 14 |
| e-ISSN | 17518695 |
| Issue Number | Issue 24, Dec (2020) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-gtd/14/24 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2020.0785 |
| Journal | IET Generation, Transmission & Distribution |
| Publisher Date | 2020-08-24 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Abnormal Amplitude Data Active Power Amplitude Data Recovery Bad Data Control of Electric Power System Controllability Current Amplitude Density-based Spatial Clustering High-upload Rate Historical Amplitude Data Historical Data Historical PMU Data Measured PMU Data Missing Amplitude Data Observability Pattern Clustering Phasor Measurement PMU Measurement Power Grid Power System Control Power System Measurement Power System Measurement And Metering Power System State Estimation Reactive Power Recovery Method Related Recovery Coefficient Synchronisation Synchronisation Error Synchronised Phasor Measurement Units Transmission Line Parameter Voltage Amplitude |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering |
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