IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i8p2067-d162671.html
   My bibliography  Save this article

Power Quality: Scientific Collaboration Networks and Research Trends

Author

Listed:
  • Francisco G. Montoya

    (Department of Engineering, University of Almeria, 04001 Almería, Spain)

  • Raul Baños

    (Department of Engineering, University of Almeria, 04001 Almería, Spain)

  • Alfredo Alcayde

    (Department of Engineering, University of Almeria, 04001 Almería, Spain)

  • Maria G. Montoya

    (Department of Informatics, University of Almeria, 04001 Almería, Spain)

  • Francisco Manzano-Agugliaro

    (Department of Engineering, University of Almeria, 04001 Almería, Spain)

Abstract

Power quality is a research field related to the proper operation of devices and technological equipment in industry, service, and domestic activities. The level of power quality is determined by variations in voltage, frequency, and waveforms with respect to reference values. These variations correspond to different types of disturbances, including power fluctuations, interruptions, and transients. Several studies have been focused on analysing power quality issues. However, there is a lack of studies on the analysis of both the trending topics and the scientific collaboration network underlying the field of power quality. To address these aspects, an advanced model is used to retrieve data from publications related to power quality and analyse this information using a graph visualisation software and statistical tools. The results suggest that research interests are mainly focused on the analysis of power quality problems and mitigation techniques. Furthermore, they are observed important collaboration networks between researchers within and across countries.

Suggested Citation

  • Francisco G. Montoya & Raul Baños & Alfredo Alcayde & Maria G. Montoya & Francisco Manzano-Agugliaro, 2018. "Power Quality: Scientific Collaboration Networks and Research Trends," Energies, MDPI, vol. 11(8), pages 1-16, August.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:8:p:2067-:d:162671
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/8/2067/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/8/2067/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Elbasuony, Ghada S. & Abdel Aleem, Shady H.E. & Ibrahim, Ahmed M. & Sharaf, Adel M., 2018. "A unified index for power quality evaluation in distributed generation systems," Energy, Elsevier, vol. 149(C), pages 607-622.
    2. Khokhar, Suhail & Mohd Zin, Abdullah Asuhaimi B. & Mokhtar, Ahmad Safawi B. & Pesaran, Mahmoud, 2015. "A comprehensive overview on signal processing and artificial intelligence techniques applications in classification of power quality disturbances," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1650-1663.
    3. Barote, L. & Marinescu, C., 2014. "Software method for harmonic content evaluation of grid connected converters from distributed power generation systems," Energy, Elsevier, vol. 66(C), pages 401-412.
    4. Valderrama-Zurián, Juan-Carlos & Aguilar-Moya, Remedios & Melero-Fuentes, David & Aleixandre-Benavent, Rafael, 2015. "A systematic analysis of duplicate records in Scopus," Journal of Informetrics, Elsevier, vol. 9(3), pages 570-576.
    5. 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.
    6. Fouda, M.E. & Elwakil, A.S. & Radwan, A.G. & Allagui, A., 2016. "Power and energy analysis of fractional-order electrical energy storage devices," Energy, Elsevier, vol. 111(C), pages 785-792.
    7. Franceschini, Fiorenzo & Maisano, Domenico & Mastrogiacomo, Luca, 2016. "Empirical analysis and classification of database errors in Scopus and Web of Science," Journal of Informetrics, Elsevier, vol. 10(4), pages 933-953.
    8. Ling-Li Li & Guohua Ding & Nan Feng & Ming-Huang Wang & Yuh-Shan Ho, 2009. "Global stem cell research trend: Bibliometric analysis as a tool for mapping of trends from 1991 to 2006," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(1), pages 39-58, July.
    9. Aghaei Chadegani, Arezoo & Salehi, Hadi & Md Yunus, Melor & Farhadi, Hadi & Fooladi, Masood & Farhadi, Maryam & Ale Ebrahim, Nader, 2013. "A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases," MPRA Paper 46898, University Library of Munich, Germany, revised 18 Mar 2013.
    10. Coll-Mayor, Debora & Pardo, Juan & Perez-Donsion, Manuel, 2012. "Methodology based on the value of lost load for evaluating economical losses due to disturbances in the power quality," Energy Policy, Elsevier, vol. 50(C), pages 407-418.
    11. Kusiak, Andrew & Zheng, Haiyang, 2010. "Optimization of wind turbine energy and power factor with an evolutionary computation algorithm," Energy, Elsevier, vol. 35(3), pages 1324-1332.
    12. Juaidi, Adel & AlFaris, Fadi & Montoya, Francisco G. & Manzano-Agugliaro, Francisco, 2016. "Energy benchmarking for shopping centers in Gulf Coast region," Energy Policy, Elsevier, vol. 91(C), pages 247-255.
    13. Seme, Sebastijan & Lukač, Niko & Štumberger, Bojan & Hadžiselimović, Miralem, 2017. "Power quality experimental analysis of grid-connected photovoltaic systems in urban distribution networks," Energy, Elsevier, vol. 139(C), pages 1261-1266.
    14. Montoya, Francisco G. & García-Cruz, Amós & Montoya, Maria G. & Manzano-Agugliaro, Francisco, 2016. "Power quality techniques research worldwide: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 846-856.
    15. Sauer, Ildo L. & Tatizawa, Hédio & Salotti, Francisco A.M., 2012. "Power quality and energy efficiency assessment and the need for labelling and minimum performance standard of uninterruptible power systems (UPS) in Brazil," Energy Policy, Elsevier, vol. 41(C), pages 885-892.
    16. Back, Jaime André & Tedesco, Leonel Pablo & Molz, Rolf Fredi & Nara, Elpidio Oscar Benitez, 2016. "An embedded system approach for energy monitoring and analysis in industrial processes," Energy, Elsevier, vol. 115(P1), pages 811-819.
    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. Supanat Chamchuen & Apirat Siritaratiwat & Pradit Fuangfoo & Puripong Suthisopapan & Pirat Khunkitti, 2021. "High-Accuracy Power Quality Disturbance Classification Using the Adaptive ABC-PSO as Optimal Feature Selection Algorithm," Energies, MDPI, vol. 14(5), pages 1-18, February.
    2. Castilla Manuel V. & Martin Francisco, 2021. "A Powerful Tool for Optimal Control of Energy Systems in Sustainable Buildings: Distortion Power Bivector," Energies, MDPI, vol. 14(8), pages 1-17, April.
    3. 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.
    4. Gabriel Nicolae Popa & Angela Iagăr & Corina Maria Diniș, 2020. "Considerations on Current and Voltage Unbalance of Nonlinear Loads in Residential and Educational Sectors," Energies, MDPI, vol. 14(1), pages 1-29, December.
    5. Mila Cascajares & Alfredo Alcayde & Esther Salmerón-Manzano & Francisco Manzano-Agugliaro, 2021. "The Bibliometric Literature on Scopus and WoS: The Medicine and Environmental Sciences Categories as Case of Study," IJERPH, MDPI, vol. 18(11), pages 1-31, May.
    6. 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.
    7. Francisco G. Montoya & Raúl Baños & Alfredo Alcayde & Francisco Manuel Arrabal-Campos & Javier Roldán Pérez, 2021. "Geometric Algebra Framework Applied to Symmetrical Balanced Three-Phase Systems for Sinusoidal and Non-Sinusoidal Voltage Supply," Mathematics, MDPI, vol. 9(11), pages 1-17, May.
    8. Esther Salmerón-Manzano & Francisco Manzano-Agugliaro, 2018. "The Higher Education Sustainability through Virtual Laboratories: The Spanish University as Case of Study," Sustainability, MDPI, vol. 10(11), pages 1-22, November.
    9. Francisco G. Montoya & Raúl Baños & Alfredo Alcayde & Francisco Manuel Arrabal-Campos & Javier Roldán-Pérez, 2021. "Vector Geometric Algebra in Power Systems: An Updated Formulation of Apparent Power under Non-Sinusoidal Conditions," Mathematics, MDPI, vol. 9(11), pages 1-18, June.
    10. Alena Otcenasova & Andrej Bolf & Juraj Altus & Michal Regula, 2019. "The Influence of Power Quality Indices on Active Power Losses in a Local Distribution Grid," Energies, MDPI, vol. 12(7), pages 1-31, April.
    11. Michal Kaczmarek & Piotr Kaczmarek & Ernest Stano, 2022. "Evaluation of the Current Shunt Influence on the Determined Wideband Accuracy of Inductive Current Transformers," Energies, MDPI, vol. 15(18), pages 1-12, September.
    12. Paulo H. P. Silva & Francisco Kleber de A. Lima & Jean M. L. Fonseca & Carlos Gustavo C. Branco & Celso R. Schmidlin Júnior, 2018. "Synchronous Compensator Based on Doubly Fed Induction Generator to Improve the Power Quality under Unbalanced Grid Voltage Conditions," Energies, MDPI, vol. 11(10), pages 1-19, October.
    13. Miguel-Angel Perea-Moreno & Esther Samerón-Manzano & Alberto-Jesus Perea-Moreno, 2019. "Biomass as Renewable Energy: Worldwide Research Trends," Sustainability, MDPI, vol. 11(3), pages 1-19, February.

    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. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    2. Sidra Salam & Aslan Amat Senin, 2022. "A Bibliometric Study on Innovative Behavior Literature (1961–2019)," SAGE Open, , vol. 12(3), pages 21582440221, July.
    3. Carmen de la Cruz-Lovera & Alberto-Jesus Perea-Moreno & José Luis de la Cruz-Fernández & Francisco G. Montoya & Alfredo Alcayde & Francisco Manzano-Agugliaro, 2019. "Analysis of Research Topics and Scientific Collaborations in Energy Saving Using Bibliometric Techniques and Community Detection," Energies, MDPI, vol. 12(10), pages 1-23, May.
    4. Gabriel Alves Vieira & Jacqueline Leta, 2024. "biblioverlap: an R package for document matching across bibliographic datasets," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4513-4527, July.
    5. Ventosa-Cutillas, Antonio & Montero-Robina, Pablo & Cuesta, Federico & Gordillo, Francisco, 2020. "A simple modulation approach for interfacing three-level Neutral-Point-Clamped converters to the grid," Energy, Elsevier, vol. 205(C).
    6. Sergio Copiello, 2019. "The open access citation premium may depend on the openness and inclusiveness of the indexing database, but the relationship is controversial because it is ambiguous where the open access boundary lie," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 995-1018, November.
    7. Boza, Pal & Evgeniou, Theodoros, 2021. "Artificial intelligence to support the integration of variable renewable energy sources to the power system," Applied Energy, Elsevier, vol. 290(C).
    8. Shirley Ainsworth & Jane M. Russell, 2018. "Has hosting on science direct improved the visibility of Latin American scholarly journals? A preliminary analysis of data quality," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1463-1484, June.
    9. 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.
    10. Gerson Pech & Catarina Delgado, 2020. "Percentile and stochastic-based approach to the comparison of the number of citations of articles indexed in different bibliographic databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 223-252, April.
    11. Michael Gusenbauer, 2022. "Search where you will find most: Comparing the disciplinary coverage of 56 bibliographic databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2683-2745, May.
    12. Gerson Pech & Catarina Delgado, 2020. "Assessing the publication impact using citation data from both Scopus and WoS databases: an approach validated in 15 research fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 909-924, November.
    13. Dalia El Khaled & Nuria Novas & Jose-Antonio Gazquez & Francisco Manzano-Agugliaro, 2018. "Dielectric and Bioimpedance Research Studies: A Scientometric Approach Using the Scopus Database," Publications, MDPI, vol. 6(1), pages 1-16, January.
    14. Michael Gusenbauer, 2019. "Google Scholar to overshadow them all? Comparing the sizes of 12 academic search engines and bibliographic databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 177-214, January.
    15. Eslami, Ahmadreza & Negnevitsky, Michael & Franklin, Evan & Lyden, Sarah, 2022. "Review of AI applications in harmonic analysis in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    16. Alfredo Alcayde & Francisco G. Montoya & Raul Baños & Alberto-Jesús Perea-Moreno & Francisco Manzano-Agugliaro, 2018. "Analysis of Research Topics and Scientific Collaborations in Renewable Energy Using Community Detection," Sustainability, MDPI, vol. 10(12), pages 1-17, November.
    17. 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.
    18. 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.
    19. Naderipour, Amirreza & Abdul-Malek, Zulkurnain & Heidari Gandoman, Foad & Nowdeh, Saber Arabi & Shiran, Mohsen Aghazadeh & Hadidian Moghaddam, Mohammad Jafar & Davoodkhani, Iraj Faraji, 2020. "Optimal designing of static var compensator to improve voltage profile of power system using fuzzy logic control," Energy, Elsevier, vol. 192(C).
    20. Lin Zhang & Ronald Rousseau & Wolfgang Glänzel, 2016. "Diversity of references as an indicator of the interdisciplinarity of journals: Taking similarity between subject fields into account," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1257-1265, May.

    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:11:y:2018:i:8:p:2067-:d:162671. 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.