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Current Status and Future Trends of Power Quality Analysis

Author

Listed:
  • 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)

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.

Suggested Citation

  • 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, 2022. "Current Status and Future Trends of Power Quality Analysis," Energies, MDPI, vol. 15(7), pages 1-18, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2328-:d:777492
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    References listed on IDEAS

    as
    1. Gupta, Akhil, 2022. "Power quality evaluation of photovoltaic grid interfaced cascaded H-bridge nine-level multilevel inverter systems using D-STATCOM and UPQC," Energy, Elsevier, vol. 238(PB).
    2. Kow, Ken Weng & Wong, Yee Wan & Rajkumar, Rajparthiban Kumar & Rajkumar, Rajprasad Kumar, 2016. "A review on performance of artificial intelligence and conventional method in mitigating PV grid-tied related power quality events," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 334-346.
    3. Jose-María Sierra-Fernández & Sarah Rönnberg & Juan-José González de la Rosa & Math H. J. Bollen & José-Carlos Palomares-Salas, 2019. "Application of Spectral Kurtosis to Characterize Amplitude Variability in Power Systems’ Harmonics," Energies, MDPI, vol. 12(1), pages 1-15, January.
    4. Julio Barros & Matilde de Apráiz & Ramón I. Diego, 2019. "Power Quality in DC Distribution Networks," Energies, MDPI, vol. 12(5), pages 1-13, March.
    5. Yue Shen & Muhammad Abubakar & Hui Liu & Fida Hussain, 2019. "Power Quality Disturbance Monitoring and Classification Based on Improved PCA and Convolution Neural Network for Wind-Grid Distribution Systems," Energies, MDPI, vol. 12(7), pages 1-26, April.
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    Citations

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    Cited by:

    1. Julio Barros, 2022. "New Power Quality Measurement Techniques and Indices in DC and AC Networks," Energies, MDPI, vol. 15(23), pages 1-3, December.
    2. Dheyaa Ied Mahdi & Goksu Gorel, 2022. "Design and Control of Three-Phase Power System with Wind Power Using Unified Power Quality Conditioner," Energies, MDPI, vol. 15(19), pages 1-21, September.
    3. Sally E. Abdel Mohsen & Ahmed M. Ibrahim & Z. M. Salem Elbarbary & Ahmed I. Omar, 2023. "Unified Power Quality Conditioner Using Recent Optimization Technique: A Case Study in Cairo Airport, Egypt," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    4. Karol Jakub Listewnik, 2022. "A Method for the Evaluation of Power-Generating Sets Based on the Assessment of Power Quality Parameters," Energies, MDPI, vol. 15(14), pages 1-24, July.

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