IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i7p2328-d777492.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/7/2328/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/7/2328/
    Download Restriction: no
    ---><---

    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Juan-José González de-la-Rosa & Manuel Pérez-Donsión, 2020. "Special Issue “Analysis for Power Quality Monitoring”," Energies, MDPI, vol. 13(3), pages 1-6, January.
    2. Coelho, Igor M. & Coelho, Vitor N. & Luz, Eduardo J. da S. & Ochi, Luiz S. & Guimarães, Frederico G. & Rios, Eyder, 2017. "A GPU deep learning metaheuristic based model for time series forecasting," Applied Energy, Elsevier, vol. 201(C), pages 412-418.
    3. 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).
    4. Jannesar, Mohammad Rasol & Sedighi, Alireza & Savaghebi, Mehdi & Guerrero, Josep M., 2018. "Optimal placement, sizing, and daily charge/discharge of battery energy storage in low voltage distribution network with high photovoltaic penetration," Applied Energy, Elsevier, vol. 226(C), pages 957-966.
    5. Misael Lopez-Ramirez & Eduardo Cabal-Yepez & Luis M. Ledesma-Carrillo & Homero Miranda-Vidales & Carlos Rodriguez-Donate & Rocio A. Lizarraga-Morales, 2018. "FPGA-Based Online PQD Detection and Classification through DWT, Mathematical Morphology and SVD," Energies, MDPI, vol. 11(4), pages 1-15, March.
    6. Vavilapalli, Sridhar & Umashankar, S. & Sanjeevikumar, P. & Ramachandaramurthy, Vigna K. & Mihet-Popa, Lucian & Fedák, Viliam, 2018. "Three-stage control architecture for cascaded H-Bridge inverters in large-scale PV systems – Real time simulation validation," Applied Energy, Elsevier, vol. 229(C), pages 1111-1127.
    7. Muttqi, Kashem M. & Aghaei, Jamshid & Askarpour, Mohammad & Ganapathy, Velappa, 2017. "Minimizing the steady-state impediments to solar photovoltaics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1329-1345.
    8. Do-In Kim, 2021. "Complementary Feature Extractions for Event Identification in Power Systems Using Multi-Channel Convolutional Neural Network," Energies, MDPI, vol. 14(15), pages 1-15, July.
    9. Ali Abedaljabar Al-Samawi & Hafedh Trabelsi, 2022. "New Nine-Level Cascade Multilevel Inverter with a Minimum Number of Switches for PV Systems," Energies, MDPI, vol. 15(16), pages 1-25, August.
    10. R. Senthil Kumar & K. Mohana Sundaram & K. S. Tamilselvan, 2021. "Hybrid Reference Current Generation Theory for Solar Fed UPFC System," Energies, MDPI, vol. 14(6), pages 1-19, March.
    11. Matej Žnidarec & Zvonimir Klaić & Damir Šljivac & Boris Dumnić, 2019. "Harmonic Distortion Prediction Model of a Grid-Tie Photovoltaic Inverter Using an Artificial Neural Network," Energies, MDPI, vol. 12(5), pages 1-19, February.
    12. Artvin-Darien Gonzalez-Abreu & Miguel Delgado-Prieto & Roque-Alfredo Osornio-Rios & Juan-Jose Saucedo-Dorantes & Rene-de-Jesus Romero-Troncoso, 2021. "A Novel Deep Learning-Based Diagnosis Method Applied to Power Quality Disturbances," Energies, MDPI, vol. 14(10), pages 1-17, May.
    13. Wajahat Ullah Khan Tareen & Muhammad Aamir & Saad Mekhilef & Mutsuo Nakaoka & Mehdi Seyedmahmoudian & Ben Horan & Mudasir Ahmed Memon & Nauman Anwar Baig, 2018. "Mitigation of Power Quality Issues Due to High Penetration of Renewable Energy Sources in Electric Grid Systems Using Three-Phase APF/STATCOM Technologies: A Review," Energies, MDPI, vol. 11(6), pages 1-41, June.
    14. Zakarya Oubrahim & Yassine Amirat & Mohamed Benbouzid & Mohammed Ouassaid, 2023. "Power Quality Disturbances Characterization Using Signal Processing and Pattern Recognition Techniques: A Comprehensive Review," Energies, MDPI, vol. 16(6), pages 1-41, March.
    15. Dongsheng Yang & Zhanchao Ma & Xiaoting Gao & Zhuang Ma & Enchang Cui, 2019. "Control Strategy of Intergrated Photovoltaic-UPQC System for DC-Bus Voltage Stability and Voltage Sags Compensation," Energies, MDPI, vol. 12(20), pages 1-21, October.
    16. Giuseppe Fusco & Mario Russo & Michele De Santis, 2021. "Decentralized Voltage Control in Active Distribution Systems: Features and Open Issues," Energies, MDPI, vol. 14(9), pages 1-31, April.
    17. Sophie Marchand & Cristian Monsalve & Thorsten Reimann & Wolfram Heckmann & Jakob Ungerland & Hagen Lauer & Stephan Ruhe & Christoph Krauß, 2021. "Microgrid Systems: Towards a Technical Performance Assessment Frame," Energies, MDPI, vol. 14(8), pages 1-23, April.
    18. Samet, Haidar, 2016. "Evaluation of digital metering methods used in protection and reactive power compensation of micro-grids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 260-279.
    19. Tareen, Wajahat Ullah & Mekhilef, Saad & Seyedmahmoudian, Mehdi & Horan, Ben, 2017. "Active power filter (APF) for mitigation of power quality issues in grid integration of wind and photovoltaic energy conversion system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 635-655.
    20. Dawid Buła & Dariusz Grabowski & Marcin Maciążek, 2022. "A Review on Optimization of Active Power Filter Placement and Sizing Methods," Energies, MDPI, vol. 15(3), pages 1-35, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2328-:d:777492. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.