Statistical Dataset and Data Acquisition System for Monitoring the Voltage and Frequency of the Electrical Network in an Environment Based on Python and Grafana
Abstract
:1. Introduction
2. Materials and Methods
3. Data Description and Records
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Wang, H.; Wang, B.; Luo, P.; Ma, F.; Zhou, Y.; Mohamed, M.A. State evaluation based-feature identification of measurement data for resilient power system. CSEE J. Power Energy Syst. 2021, 1–9. [Google Scholar] [CrossRef]
- Florencias-Oliveros, O.; González-de-la-Rosa, J.J.; Agüera-Pérez, A.; Palomares-Salas, J.C. Power quality event dynamics characterization via 2D trajectories using deviations of higher-order statistics. Meas. J. Int. Meas. Confed. 2018, 125, 350–359. [Google Scholar] [CrossRef]
- Alnowibet, K.; Annuk, A.; Dampage, U.; Mohamed, M.A. Effective energy management via false data detection scheme for the interconnected smart energy hub–microgrid system under stochastic framework. Sustainability 2021, 13, 11836. [Google Scholar] [CrossRef]
- Rens, J.; de Kock, J.; van Wyk, W.; van Zyl, J. The effect of real network phase disturbances on the calculation of IEC 61000-4-30 parameters. In Proceedings of the International Conference on Harmonics and Quality of Power, ICHQP, Bucharest, Romania, 25–28 May 2014; pp. 303–306. [Google Scholar] [CrossRef]
- Abdelrahman, S.; Liao, H.; Yu, J.; Milanovic, J.V. Probabilistic assessment of the impact of distributed generation and non-linear load on harmonic propagation in power networks. In Proceedings of the—2014 Power Systems Computation Conference PSCC, Wroclaw, Poland, 18–22 August 2014. [Google Scholar] [CrossRef] [Green Version]
- De Apraiz, M.; Barros, J.; Diego, R.I.; Gutiérrez, J.J.; Redondo, K.; Azcarate, I. Detection and analysis of rapid voltage changes in power system networks. In Proceedings of the 2014 IEEE International Workshop on Applied Measurements for Power Systems, AMPS 2014—Proceedings, Aachen, Germany, 24–26 September 2014; pp. 81–86. [Google Scholar] [CrossRef]
- Niu, B.; Yao, L.; Li, J.R.; Wang, S.; Wang, J. Development of monitoring system for lightning current waveforms of transmission lines based on flexible Rogowski coil. In Proceedings of the ICHVE 2014—2014 International Conference on High Voltage Engineering and Application, Poznan, Poland, 8–11 September 2014. [Google Scholar] [CrossRef]
- Gourov, N.; Tzvetkov, P.; Milushev, G.; Vassilev, V. Remote monitoring of the electrical power quality. In Proceedings of the International Conference on Electrical Power Quality and Utilisation, EPQU, Lisbon, Portugal, 17–19 October 2011; p. 594. [Google Scholar] [CrossRef]
- Mitrović, V.; Mijalković, M. Power quality data logger with internet access. In Proceedings of the 19th International Symposium on Power Electronics, Ee, Novi Sad, Serbia, 19–21 October 2017; pp. 1–6. [Google Scholar] [CrossRef]
- IEC 61000-4-30:2015; Electromagnetic Compatibility (EMC). Part 4–30: Testing and Measurement Techniques—Power Quality Measurement Methods. International Electrotechnical Commission: Geneva, Switzerland, 2015. Available online: https://webstore.iec.ch/publication/21844 (accessed on 25 March 2022).
- Jesus, I.; Pereira, T.; Marques, P.; Sousa, J.; Perdigoto, L.; Coelho, P. End-to-End Management System Framework for Smart Public Buildings. In Proceedings of the 2021 IEEE Green Energy and Smart Systems Conference (IGESSC), Long Beach, CA, USA, 1–2 November 2021. [Google Scholar] [CrossRef]
- De la Rosa, J.J.G.; Moreno, A.; Lloret, I.; Pallarés, V.; Liñán, M. Characterisation of frequency instability and frequency offset using instruments with incomplete data sheets. Meas. J. Int. Meas. Confed. 2006, 39, 664–673. [Google Scholar] [CrossRef]
- Sierra-Fernández, J.M.; Florencias-Oliveros, O.; Espinosa-Gavira, M.J.; González-De-La-Rosa, J.J.; Agüera-Pérez, A.; Palomares-Salas, J.C. Online System for Power Quality Operational Data Management in Frequency Monitoring Using Python and Grafana. Energies 2021, 14, 8304. [Google Scholar] [CrossRef]
- Yunus, B.; Li, H. Analysis of power quality waveform for data transmission efficiency over IEC 61850 communication standard. In Proceedings of the First International Power and Energy Conference, (PECon 2006) Proceedings, Putra Jaya, Malaysia, 28–29 November 2006; pp. 161–166. [Google Scholar] [CrossRef]
- Apetrei, D.; Silvas, L.; Chicco, G.; Neurohr, R.; Albu, M.; Postolache, P. Voltage and frequency time series analysis: Improvements in transforming data from quality survey into information. In Proceedings of the 2010 9th Conference on Environment and Electrical Engineering, EEEIC, Prague, Czech Republic, 16–19 May 2010; pp. 265–268. [Google Scholar] [CrossRef]
Analysis Type | Computation Window | Database Update |
---|---|---|
1 | 1 cycle of 50 Hz | 1 s (max, mix, avg values) |
2 | 10 cycles of 50 Hz | 1 s (max, mix, avg values) |
3 | 2 s | 2 s (value) |
t | Variance | Skewness | Kurtosis | PQ Index | VRMS (V) | THD | Freq. (Hz) |
---|---|---|---|---|---|---|---|
0:00:01 | 0.506935 | 0.00114295 | −1.50365 | 0.0117251 | 231.59 | 0.0775725 | 49.9511 |
0:00:03 | 0.506523 | −0.00129794 | −1.50302 | 0.0108383 | 231.496 | 0.0779946 | 49.9481 |
0:00:05 | 0.506305 | −0.00146479 | −1.50178 | 0.00954501 | 231.446 | 0.0807156 | 49.954 |
0:00:07 | 0.505414 | −0.00167911 | −1.5017 | 0.00878987 | 231.242 | 0.0705752 | 49.9414 |
0:00:09 | 0.506608 | −0.00137201 | −1.50209 | 0.0100683 | 231.515 | 0.085768 | 49.959 |
0:00:11 | 0.50713 | −0.000809826 | −1.50355 | 0.0114893 | 231.634 | 0.0804071 | 49.9555 |
0:00:13 | 0.506744 | 0.00120363 | −1.50351 | 0.0114553 | 231.546 | 0.0839629 | 49.955 |
0:00:15 | 0.506497 | 0.00202925 | −1.50216 | 0.010683 | 231.49 | 0.0821167 | 49.9544 |
0:00:17 | 0.50597 | 0.00148796 | −1.50209 | 0.00955296 | 231.369 | 0.0861749 | 49.961 |
0:00:19 | 0.505923 | 0.00159949 | −1.50174 | 0.00925834 | 231.359 | 0.0843541 | 49.959 |
0:00:21 | 0.506533 | 0.00169597 | −1.50209 | 0.0103187 | 231.498 | 0.0893845 | 49.963 |
0:00:23 | 0.506652 | 0.00108132 | −1.50333 | 0.0110593 | 231.525 | 0.0844368 | 49.959 |
0:00:25 | 0.50716 | −0.000218186 | −1.50316 | 0.01054 | 231.641 | 0.0905389 | 49.965 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Fernández-Morales, J.; González-de-la Rosa, J.-J.; Sierra-Fernández, J.-M.; Espinosa-Gavira, M.-J.; Florencias-Oliveros, O.; Agüera-Pérez, A.; Palomares-Salas, J.-C.; Remigio-Carmona, P. Statistical Dataset and Data Acquisition System for Monitoring the Voltage and Frequency of the Electrical Network in an Environment Based on Python and Grafana. Data 2022, 7, 77. https://doi.org/10.3390/data7060077
Fernández-Morales J, González-de-la Rosa J-J, Sierra-Fernández J-M, Espinosa-Gavira M-J, Florencias-Oliveros O, Agüera-Pérez A, Palomares-Salas J-C, Remigio-Carmona P. Statistical Dataset and Data Acquisition System for Monitoring the Voltage and Frequency of the Electrical Network in an Environment Based on Python and Grafana. Data. 2022; 7(6):77. https://doi.org/10.3390/data7060077
Chicago/Turabian StyleFernández-Morales, Javier, Juan-José González-de-la Rosa, José-María Sierra-Fernández, Manuel-Jesús Espinosa-Gavira, Olivia Florencias-Oliveros, Agustín Agüera-Pérez, José-Carlos Palomares-Salas, and Paula Remigio-Carmona. 2022. "Statistical Dataset and Data Acquisition System for Monitoring the Voltage and Frequency of the Electrical Network in an Environment Based on Python and Grafana" Data 7, no. 6: 77. https://doi.org/10.3390/data7060077
APA StyleFernández-Morales, J., González-de-la Rosa, J.-J., Sierra-Fernández, J.-M., Espinosa-Gavira, M.-J., Florencias-Oliveros, O., Agüera-Pérez, A., Palomares-Salas, J.-C., & Remigio-Carmona, P. (2022). Statistical Dataset and Data Acquisition System for Monitoring the Voltage and Frequency of the Electrical Network in an Environment Based on Python and Grafana. Data, 7(6), 77. https://doi.org/10.3390/data7060077