Prototype Instrumentation for the Spatial and Temporal Characterisation of Voltage Supply Based on Two-Dimensional Higher-Order Statistics
This paper presents a proof-of-concept of a versatile Power Quality (PQ) analyser for tracking the voltage supply in industrial and residential sectors. It implements 2D Higher-Order Statistics (HOS) to assess voltage quality, based more on the sinusoidal waveform than on power fluctuations. Beyond...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/1/175 |
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| author | Juan-José González-de-la-Rosa Olivia Florencias-Oliveros José-María Sierra-Fernández Manuel-Jesús Espinosa-Gavira Agustín Agüera-Pérez José-Carlos Palomares-Salas Victor Pallarés-López Rafael-Jesús Real-Calvo Isabel Santiago-Chiquero |
| author_facet | Juan-José González-de-la-Rosa Olivia Florencias-Oliveros José-María Sierra-Fernández Manuel-Jesús Espinosa-Gavira Agustín Agüera-Pérez José-Carlos Palomares-Salas Victor Pallarés-López Rafael-Jesús Real-Calvo Isabel Santiago-Chiquero |
| author_sort | Juan-José González-de-la-Rosa |
| collection | DOAJ |
| description | This paper presents a proof-of-concept of a versatile Power Quality (PQ) analyser for tracking the voltage supply in industrial and residential sectors. It implements 2D Higher-Order Statistics (HOS) to assess voltage quality, based more on the sinusoidal waveform than on power fluctuations. Beyond the second-order parameters and permissible deviations regulated by the norm, EN 50160, the two-dimensional traces and probability density functions, along with a previously studied differential index, manage to identify different states of the electrical grid. Waveforms were measured in the wall plugs of a public building. In regard to analysing reliability and voltage waveform, the results corroborate that incorporating skewness and kurtosis indicators improves the characterisation, as well as extracting the customers’ supply behaviour under normal and anomalous operations. The instrument showed good behaviour in site characterisation, and the implemented method was considered as a probabilistic approach for the risk assessment of an installation. The prototype was tested in the facilities of a public building of the university, being able to detect deviations in 10 s traces of 3.9% in variance and 0.6% in kurtosis. |
| format | Article |
| id | doaj-art-5b96b85066bc4884a2bcd6a7cac336b6 |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-5b96b85066bc4884a2bcd6a7cac336b62025-01-10T13:17:19ZengMDPI AGEnergies1996-10732025-01-0118117510.3390/en18010175Prototype Instrumentation for the Spatial and Temporal Characterisation of Voltage Supply Based on Two-Dimensional Higher-Order StatisticsJuan-José González-de-la-Rosa0Olivia Florencias-Oliveros1José-María Sierra-Fernández2Manuel-Jesús Espinosa-Gavira3Agustín Agüera-Pérez4José-Carlos Palomares-Salas5Victor Pallarés-López6Rafael-Jesús Real-Calvo7Isabel Santiago-Chiquero8Research Group PAIDI-TIC-168: Computational Instrumentation and Industrial Electronics (ICEI), Department of Automation Engineering, Electronics, Architecture and Computers Networks, University of Cádiz, UCA-SEA-EU Innovation Center, Virgen del Carmen Av. S/N, 11204 Algeciras, SpainResearch Group PAIDI-TIC-168: Computational Instrumentation and Industrial Electronics (ICEI), Department of Automation Engineering, Electronics, Architecture and Computers Networks, University of Cádiz, UCA-SEA-EU Innovation Center, Virgen del Carmen Av. S/N, 11204 Algeciras, SpainResearch Group PAIDI-TIC-168: Computational Instrumentation and Industrial Electronics (ICEI), Department of Automation Engineering, Electronics, Architecture and Computers Networks, University of Cádiz, UCA-SEA-EU Innovation Center, Virgen del Carmen Av. S/N, 11204 Algeciras, SpainResearch Group PAIDI-TIC-168: Computational Instrumentation and Industrial Electronics (ICEI), Department of Automation Engineering, Electronics, Architecture and Computers Networks, University of Cádiz, UCA-SEA-EU Innovation Center, Virgen del Carmen Av. S/N, 11204 Algeciras, SpainResearch Group PAIDI-TIC-168: Computational Instrumentation and Industrial Electronics (ICEI), Department of Automation Engineering, Electronics, Architecture and Computers Networks, University of Cádiz, UCA-SEA-EU Innovation Center, Virgen del Carmen Av. S/N, 11204 Algeciras, SpainResearch Group PAIDI-TIC-168: Computational Instrumentation and Industrial Electronics (ICEI), Department of Automation Engineering, Electronics, Architecture and Computers Networks, University of Cádiz, UCA-SEA-EU Innovation Center, Virgen del Carmen Av. S/N, 11204 Algeciras, SpainResearch Group PAIDI-TIC-240: Industrial Electronics and Instrumentation (IEI), Department Electronic Engineering and Computers, University of Córdoba, Campus of Rabanales, 14071 Córdoba, SpainResearch Group PAIDI-TIC-240: Industrial Electronics and Instrumentation (IEI), Department Electronic Engineering and Computers, University of Córdoba, Campus of Rabanales, 14071 Córdoba, SpainResearch Group PAIDI-TIC-240: Industrial Electronics and Instrumentation (IEI), Department Electronic Engineering and Computers, University of Córdoba, Campus of Rabanales, 14071 Córdoba, SpainThis paper presents a proof-of-concept of a versatile Power Quality (PQ) analyser for tracking the voltage supply in industrial and residential sectors. It implements 2D Higher-Order Statistics (HOS) to assess voltage quality, based more on the sinusoidal waveform than on power fluctuations. Beyond the second-order parameters and permissible deviations regulated by the norm, EN 50160, the two-dimensional traces and probability density functions, along with a previously studied differential index, manage to identify different states of the electrical grid. Waveforms were measured in the wall plugs of a public building. In regard to analysing reliability and voltage waveform, the results corroborate that incorporating skewness and kurtosis indicators improves the characterisation, as well as extracting the customers’ supply behaviour under normal and anomalous operations. The instrument showed good behaviour in site characterisation, and the implemented method was considered as a probabilistic approach for the risk assessment of an installation. The prototype was tested in the facilities of a public building of the university, being able to detect deviations in 10 s traces of 3.9% in variance and 0.6% in kurtosis.https://www.mdpi.com/1996-1073/18/1/175energy datahigher-order statisticsmeasurement instrumentnetwork voltage statuspower quality tracking |
| spellingShingle | Juan-José González-de-la-Rosa Olivia Florencias-Oliveros José-María Sierra-Fernández Manuel-Jesús Espinosa-Gavira Agustín Agüera-Pérez José-Carlos Palomares-Salas Victor Pallarés-López Rafael-Jesús Real-Calvo Isabel Santiago-Chiquero Prototype Instrumentation for the Spatial and Temporal Characterisation of Voltage Supply Based on Two-Dimensional Higher-Order Statistics Energies energy data higher-order statistics measurement instrument network voltage status power quality tracking |
| title | Prototype Instrumentation for the Spatial and Temporal Characterisation of Voltage Supply Based on Two-Dimensional Higher-Order Statistics |
| title_full | Prototype Instrumentation for the Spatial and Temporal Characterisation of Voltage Supply Based on Two-Dimensional Higher-Order Statistics |
| title_fullStr | Prototype Instrumentation for the Spatial and Temporal Characterisation of Voltage Supply Based on Two-Dimensional Higher-Order Statistics |
| title_full_unstemmed | Prototype Instrumentation for the Spatial and Temporal Characterisation of Voltage Supply Based on Two-Dimensional Higher-Order Statistics |
| title_short | Prototype Instrumentation for the Spatial and Temporal Characterisation of Voltage Supply Based on Two-Dimensional Higher-Order Statistics |
| title_sort | prototype instrumentation for the spatial and temporal characterisation of voltage supply based on two dimensional higher order statistics |
| topic | energy data higher-order statistics measurement instrument network voltage status power quality tracking |
| url | https://www.mdpi.com/1996-1073/18/1/175 |
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