Remote monitoring of the electrical power quality

Gourov, Nikolay; Tzvetkov, Plamen; Milushev, George; Vassilev, V. A.

doi:10.1109/epqu.2011.6128842

Cited by 5 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As Gourov N., et al, detailed in [8], this type of acquisition system can be designed to work offline, storing data in memory, or remotely, sending data in real time to the server. For this study, we chose the second option, as the huge amount of data generated would require massive memory storage capacity, which is not necessary for an online system; and because the system was able to work more autonomously, since it was not necessary to disconnect it from the electrical network to transfer the data.…”

Section: Methodsmentioning

confidence: 99%

“…Maintaining satisfactory quality is the joint responsibility of the producer, the supplier and the user, in that order of influence, abilities and responsibilities [8].…”

Section: Introductionmentioning

confidence: 99%

“…The purpose of this study is to provide a comprehensive and unique data set associated with long-term power quality monitoring, which will provide a comprehensive network status, so as to prevent data mismanagement, and achieve more efficient downstream analytics. In order to achieve this goal, a homemade PQ instrument was used, based on signal-acquiring equipment and a server programmed in Python TM , rather than a specific PQ analyzer, as in other works, e.g., in [8]. The designed system is described in detail in Section 2.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Statistical Dataset and Data Acquisition System for Monitoring the Voltage and Frequency of the Electrical Network in an Environment Based on Python and Grafana

Fernández-Morales

González-de-la-Rosa

Sierra-Fernández

et al. 2022

Data

View full text Add to dashboard Cite

This article presents a unique dataset, from a public building, of voltage data, acquired using a hybrid measurement solution that combines PythonTM for acquisition and GrafanaTM for results representation. This study aims to benefit communities, by demonstrating how to achieve more efficient energy management. The study outlines how to obtain a more realistic vision of the quality of the supply, that is oriented to the monitoring of the state of the network; this should allow for better understanding, which should in turn enable the optimization of the operation and maintenance of power systems. Our work focused on frequency and higher order statistical estimators which, combined with exploratory data analysis techniques, improved the characterization of the shape of the stress signal. These techniques and data, together with the acquisition and monitoring system, present a unique combination of low-cost measurement solutions, which have the underlying benefit of contributing to industrial benchmarking. Our study proposes an effective and versatile system, which can do acquisition, statistical analysis, database management and results representation in less than a second. The system offers a wide variety of graphs to present the results of the analysis, so that the user can observe them and identify, with relative ease, any anomalies in the supply which could damage the sensitive equipment of the correspondent installation. It is a system, therefore, that not only provides information about the power quality, but also significantly contributes to the safety and maintenance of the installation. This system can be practically realized, subject to the availability of internet access.

show abstract

Section: Methodsmentioning

confidence: 99%

“…Maintaining satisfactory quality is the joint responsibility of the producer, the supplier and the user, in that order of influence, abilities and responsibilities [8].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Statistical Dataset and Data Acquisition System for Monitoring the Voltage and Frequency of the Electrical Network in an Environment Based on Python and Grafana

Fernández-Morales

González-de-la-Rosa

Sierra-Fernández

et al. 2022

Data

View full text Add to dashboard Cite

show abstract

“…Thus, maintaining satisfactory quality is a joint responsibility of the producer, supplier and the user. The influence abilities and responsibilities are in the same order [6].…”

mentioning

confidence: 99%

Statistical Data Set and Data Acquisition System for Monitoring The Voltage and Frequency of The Electrical Network in An Environment Based On <em>Python</em> and <em>Grafana</em>

Fernández-Morales¹,

González-de-la-Rosa²,

Florencias-Oliveros³

et al. 2022

Preprint

View full text Add to dashboard Cite

This article presents a unique set of voltage and current data from a public building and acquired using a hybrid measurement solution that combines Python and Grafana. The transversal purpose consists of contributing to the community with a vision of the quality of the supply more oriented to the monitoring of the state of the network, providing a more realistic vision, which allows a better understanding, and the adoption of the best decisions to achieve the efficient energy management and thus optimize the operation and maintenance of power systems. The work focuses on higher order statistical estimators that, combined with exploratory data analysis techniques, improve the characterization of the shape of the stress signal. These techniques and data, together with the acquisition and monitoring system, present a unique combination in the line of low-cost measurement solutions. It also incorporates the underlying benefit of the contribution to industrial benchmarking. The paper also includes a computational comparison between Python and LabVIEW to elicit the performance of the measurement solution.

show abstract

Power Quality and Power Experience

Yang

2020

Energy Internet

View full text Add to dashboard Cite

Remote monitoring of the electrical power quality

Cited by 5 publications

References 0 publications

Statistical Dataset and Data Acquisition System for Monitoring the Voltage and Frequency of the Electrical Network in an Environment Based on Python and Grafana

Statistical Dataset and Data Acquisition System for Monitoring the Voltage and Frequency of the Electrical Network in an Environment Based on Python and Grafana

Statistical Data Set and Data Acquisition System for Monitoring The Voltage and Frequency of The Electrical Network in An Environment Based On <em>Python</em> and <em>Grafana</em>

Power Quality and Power Experience

Contact Info

Product

Resources

About