scholarly journals Change-point detection-based power quality monitoring in smart grids

2015 ◽  
Vol 4 ◽  
Author(s):  
Xingze He ◽  
Man-On Pun ◽  
C.C. Jay Kuo
Keyword(s):  
Power Quality ◽  
Change Point ◽  
Smart Grids ◽  
Economic Loss ◽  
Change Point Detection ◽  
Quality Monitoring ◽  
Detection Scheme ◽  
Power Quality Monitoring ◽  
Point Detection ◽  
Short Time

The enormous economic loss caused by power quality problems (more than $ 150 billion per year in USA) makes power quality monitoring an important component in power grid. With highly connected fragile digital equipment and appliances, Smart Grid has more stringent timeliness and reliability requirements on power quality monitoring. In this work, we propose a change-point detection theory-based power quality monitoring scheme to detect the most detrimental power quality events, such as voltage sags, transients and swells in a quick and reliable manner. We first present a method for single-sensor detection scenario. Based on that, we extend the scheme to multi-sensor joint detection scheme which further enhances the detection performance. A group of conventional power quality monitoring schemes (i.e. Root-mean-square, Short-time Fourier transform, MUSIC, and MBQCUSUM) are compared with the proposed scheme. Experimental results assert the superior of the proposed scheme in terms of detection latency and robustness.

scholarly journals Construction of a Power Quality Monitoring System Based on the Wavelet Transform Change-Point Detection Algorithm on the Virtual Instrument Platform

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Wavelet Transform ◽  
Power Quality ◽  
Monitoring System ◽  
Virtual Instrument ◽  
Change Point ◽  
Detection Algorithm ◽  
Change Point Detection ◽  
Quality Monitoring ◽  
Power Quality Monitoring ◽  
Point Detection

It is aimed to carry out the investigation on power quality detection, promote the realization of efficient transmission of network data, and expand the application of wavelet transform change-point detection algorithm in the monitoring system. The voltage deviation is used as a starting point to explore the detection of power quality. First, it describes the harmonics of the public power grid and the limits of harmonic voltage. Second, based on the virtual instrument platform, the power quality monitoring system based on wavelet transform change-point detection algorithm is completed. Finally, by adding a monitoring terminal and a service terminal, the design of the monitoring system server is completed. Through the analysis of the experimental results, it is found that in the monitoring system, the current waveform and the three-phase voltage can be accurately displayed. The combined design of the networked monitoring system and the system server enables the system to complete the rapid transmission of data related to power quality, while having a good monitoring effect. For the optimization of networked monitoring experienceof the server, the application of wavelet transform in power quality measurement is realized. The power quality monitoring system proposed has a strong practicality in power quality monitoring.

scholarly journals Change Point Determination in Audio Data Using Auditory Features

2015 ◽  
Vol 61 (2) ◽  
pp. 185-190 ◽  
Author(s):  
Tomasz Maka
Keyword(s):  
Change Point ◽  
Feature Space ◽  
Change Point Detection ◽  
Detection Scheme ◽  
Detection Techniques ◽  
Detection Process ◽  
Feature Spaces ◽  
Audio Data ◽  
A New Technique ◽  
Point Detection

Abstract The study is aimed to investigate the properties of auditory-based features for audio change point detection process. In the performed analysis, two popular techniques have been used: a metric-based approach and the ΔBIC scheme. The efficiency of the change point detection process depends on the type and size of the feature space. Therefore, we have compared two auditory-based feature sets (MFCC and GTEAD) in both change point detection schemes. We have proposed a new technique based on multiscale analysis to determine the content change in the audio data. The comparison of the two typical change point detection techniques with two different feature spaces has been performed on the set of acoustical scenes with single change point. As the results show, the accuracy of the detected positions depends on the feature type, feature space dimensionality, detection technique and the type of audio data. In case of the ΔBIC approach, the better accuracy has been obtained for MFCC feature space in the most cases. However, the change point detection with this feature results in a lower detection ratio in comparison to the GTEAD feature. Using the same criteria as for ΔBIC, the proposed multiscale metric-based technique has been executed. In such case, the use of the GTEAD feature space has led to better accuracy. We have shown that the proposed multiscale change point detection scheme is competitive to the ΔBIC scheme with the MFCC feature space.

Multi-stage change-point detection scheme for large-scale simultaneous events

2011 ◽  
Vol 34 (15) ◽  
pp. 1810-1821
Author(s):  
Yukinobu Fukushima ◽  
Tutomu Murase ◽  
Masayoshi Kobayashi ◽  
Hiroki Fujiwara ◽  
Ryohei Fujimaki ◽  
...  
Keyword(s):  
Change Point ◽  
Large Scale ◽  
Change Point Detection ◽  
Detection Scheme ◽  
Multi Stage ◽  
Stage Change ◽  
Point Detection
Sign in / Sign up

Export Citation Format

Share Document