Online System for Power Quality Operational Data Management in Frequency Monitoring Using Python and Grafana

Jose-María Sierra-Fernández, Olivia Florencias-Oliveros, Manuel-Jesús Espinosa-Gavira, Juan-José González- de-la-Rosa, Agustín Agüera-Pérez and José-Carlos Palomares-Salas
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Jose-María Sierra-Fernández: Department of Automation Engineering, Electronics, Architecture and Computers Networks, Research Group PAIDI-TIC-168, University of Cádiz, E-11202 Algeciras, Spain
Olivia Florencias-Oliveros: Department of Automation Engineering, Electronics, Architecture and Computers Networks, Research Group PAIDI-TIC-168, University of Cádiz, E-11202 Algeciras, Spain
Manuel-Jesús Espinosa-Gavira: Department of Automation Engineering, Electronics, Architecture and Computers Networks, Research Group PAIDI-TIC-168, University of Cádiz, E-11202 Algeciras, Spain
Juan-José González- de-la-Rosa: Department of Automation Engineering, Electronics, Architecture and Computers Networks, Research Group PAIDI-TIC-168, University of Cádiz, E-11202 Algeciras, Spain
Agustín Agüera-Pérez: Department of Automation Engineering, Electronics, Architecture and Computers Networks, Research Group PAIDI-TIC-168, University of Cádiz, E-11202 Algeciras, Spain
José-Carlos Palomares-Salas: Department of Automation Engineering, Electronics, Architecture and Computers Networks, Research Group PAIDI-TIC-168, University of Cádiz, E-11202 Algeciras, Spain

Energies, 2021, vol. 14, issue 24, 1-15

Abstract: This article proposes a measurement solution designed to monitor the instantaneous frequency in power systems. It uses a data acquisition module and a GPS receiver for time stamping and traceability. A Python -based module receives data, computes the frequency, and finally transfers the measurement results to a database. The frequency is calculated with two different methods, which are compared in the article. The stored data is visualized using the Grafana platform, thus demonstrating its potential for comparing scientific data. The system as a whole constitutes an efficient, low-cost solution as a data acquisition system.

Keywords: big data; data acquisition; data visualization; data exchange; dashboard; frequency stability; Grafana -based lab; power quality; GPS reference; frequency measurement (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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