Current Status and Future Trends of Power Quality Analysis
In this article, a systematic literature review of 153 articles on power quality analysis in PV systems published in the last 20 years is presented. This provides readers with an overview on PQ trends in several fields related to instrumental techniques that are being used in the smart grid to visua...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-03-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/15/7/2328 |
| _version_ | 1797439628978946048 |
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| author | Paula Remigio-Carmona Juan-José González-de-la-Rosa Olivia Florencias-Oliveros José-María Sierra-Fernández Javier Fernández-Morales Manuel-Jesús Espinosa-Gavira Agustín Agüera-Pérez José-Carlos Palomares-Salas |
| author_facet | Paula Remigio-Carmona Juan-José González-de-la-Rosa Olivia Florencias-Oliveros José-María Sierra-Fernández Javier Fernández-Morales Manuel-Jesús Espinosa-Gavira Agustín Agüera-Pérez José-Carlos Palomares-Salas |
| author_sort | Paula Remigio-Carmona |
| collection | DOAJ |
| description | In this article, a systematic literature review of 153 articles on power quality analysis in PV systems published in the last 20 years is presented. This provides readers with an overview on PQ trends in several fields related to instrumental techniques that are being used in the smart grid to visualize the quality of the energy, establishing a solid literature base from which to start future research. A preliminary appreciation allows us to intuit that higher-order statistics are not implemented in measurement equipment and that traditional instrumentation is still used for the performance of measurement campaigns, not yielding the expected results since the information processed does not come from an electrical network from 20 years ago. Instead, current networks contain numerous coupled load effects; thus, new disturbances are not simple; they are usually complex events, the sum of several types of disturbances. Likewise, depending on the type of installation, the objective of the PQ analysis changes, either by detecting certain events or simply focusing on seeing the state of the network. |
| first_indexed | 2024-03-09T11:56:50Z |
| format | Article |
| id | doaj.art-b6bbd4895f5446f2bea989e46b736015 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T11:56:50Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-b6bbd4895f5446f2bea989e46b7360152023-11-30T23:08:42ZengMDPI AGEnergies1996-10732022-03-01157232810.3390/en15072328Current Status and Future Trends of Power Quality AnalysisPaula Remigio-Carmona0Juan-José González-de-la-Rosa1Olivia Florencias-Oliveros2José-María Sierra-Fernández3Javier Fernández-Morales4Manuel-Jesús Espinosa-Gavira5Agustín Agüera-Pérez6José-Carlos Palomares-Salas7Research Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, University of Cádiz, E-11202 Algeciras, SpainResearch Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, University of Cádiz, E-11202 Algeciras, SpainResearch Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, University of Cádiz, E-11202 Algeciras, SpainResearch Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, University of Cádiz, E-11202 Algeciras, SpainResearch Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, University of Cádiz, E-11202 Algeciras, SpainResearch Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, University of Cádiz, E-11202 Algeciras, SpainResearch Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, University of Cádiz, E-11202 Algeciras, SpainResearch Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, University of Cádiz, E-11202 Algeciras, SpainIn this article, a systematic literature review of 153 articles on power quality analysis in PV systems published in the last 20 years is presented. This provides readers with an overview on PQ trends in several fields related to instrumental techniques that are being used in the smart grid to visualize the quality of the energy, establishing a solid literature base from which to start future research. A preliminary appreciation allows us to intuit that higher-order statistics are not implemented in measurement equipment and that traditional instrumentation is still used for the performance of measurement campaigns, not yielding the expected results since the information processed does not come from an electrical network from 20 years ago. Instead, current networks contain numerous coupled load effects; thus, new disturbances are not simple; they are usually complex events, the sum of several types of disturbances. Likewise, depending on the type of installation, the objective of the PQ analysis changes, either by detecting certain events or simply focusing on seeing the state of the network.https://www.mdpi.com/1996-1073/15/7/2328observational data analysispower qualityquality indicesbig data |
| spellingShingle | Paula Remigio-Carmona Juan-José González-de-la-Rosa Olivia Florencias-Oliveros José-María Sierra-Fernández Javier Fernández-Morales Manuel-Jesús Espinosa-Gavira Agustín Agüera-Pérez José-Carlos Palomares-Salas Current Status and Future Trends of Power Quality Analysis Energies observational data analysis power quality quality indices big data |
| title | Current Status and Future Trends of Power Quality Analysis |
| title_full | Current Status and Future Trends of Power Quality Analysis |
| title_fullStr | Current Status and Future Trends of Power Quality Analysis |
| title_full_unstemmed | Current Status and Future Trends of Power Quality Analysis |
| title_short | Current Status and Future Trends of Power Quality Analysis |
| title_sort | current status and future trends of power quality analysis |
| topic | observational data analysis power quality quality indices big data |
| url | https://www.mdpi.com/1996-1073/15/7/2328 |
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