Current Status and Future Trends of Power Quality Analysis

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

Energies, 2022, vol. 15, issue 7, 1-18

Abstract: 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.

Keywords: observational data analysis; power quality; quality indices; big data (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: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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