Disturbance extracted methods for auxiliary power quality monitor-based voltage sag localization in distribution network. (February 2023)

• Record Type: Journal Article
• Authors: Tan, Min-gang; Zhang, Chaohai; Zhang, Rui; Chen, Bin
• Is Part Of: International journal of electrical power & energy systems. Volume 145(2023)
• Publication Date: 2023-02
• Subjects: 0000 -- 1111; Auxiliary power quality monitor -- Disturbance extracted -- Voltage sag localization -- Signal-to-noise ratio -- Sampling frequency; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2022.108675
• Languages: English
• ISSNs: 0142-0615

Abstract

Abstract: It is of great significance to extract the voltage sag disturbances with high signal-to-noise ratio (SNR) for safety, environmental and economic interests, which can be applied to locate the voltage sag source using the widely deployed auxiliary power quality monitor ( α PQM) in distribution network. Two classical disturbance extraction methods (DEM) and the respective advantages, disadvantages and applicable scenarios are summarized. To overcome their shortcomings at the requirements for fault duration and sampling frequency caused by the small storage space of α PQM, three new DEMs with higher SNR are proposed based on the sine wave reconstruction. The extracted disturbances are analyzed in terms of SNR using theoretical signals. Compared with the classical DEMs, the new ones show better SNR performance at sampling frequency, disturbance duration and residual voltage, as well as harmonics and noise. Besides, the test results using the simulation data of the IEEE 34 nodes distribution network show that they outperform classical DEMs in adapting to voltage sag localization algorithms. The sampling frequency of α PQM is recommended to be an integer multiple of the system frequency. In order to adapt α PQM and more DEMs to locate voltage sag, the longest possible steady-state waveforms are suggested to be stored in the case of redundant storage space. Highlights: Instead of the professional PQM, α PQM has been used to locate the voltage sag source. The needed length of a steady-state waveform is much shorter than classical methods. The lower sampling frequency provides more storage space for long-term voltage sag. DEMs perform well in duration, sampling rate, residual voltage, noise and harmonic.