Method of amplitude data recovery in PMU measurements that considers synchronisation errors
Autor: | Tianshu Bi, Feiyang Xu, Li Wang, Yongzhao Lao, He Kong, Shuang Leng, Ancheng Xue, Wei Guo'en, Shi Bonian |
---|---|
Rok vydání: | 2020 |
Předmět: |
021110 strategic
defence & security studies business.industry Noise (signal processing) Computer science 020209 energy 0211 other engineering and technologies Phasor Energy Engineering and Power Technology 02 engineering and technology AC power Data recovery Controllability Units of measurement Amplitude Control and Systems Engineering Control theory 0202 electrical engineering electronic engineering information engineering Observability Electrical and Electronic Engineering business |
Zdroj: | IET Generation, Transmission & Distribution. 14:5746-5755 |
ISSN: | 1751-8695 1751-8687 |
DOI: | 10.1049/iet-gtd.2020.0785 |
Popis: | 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. |
Databáze: | OpenAIRE |
Externí odkaz: |