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Special Issue “Analysis for Power Quality Monitoring”

Author

Listed:
  • Juan-José González de-la-Rosa

    (Research Group PAIDI-TIC-168 in Computational Instrumentation and Industrial Electronics (ICEI), Higher Polytechnic School, University of Cádiz, Ramón Puyol Av., E-11202 Algeciras, Spain)

  • Manuel Pérez-Donsión

    (Department of Electrical Engineering, ETSII, Campus de Lagoas-Marcosende, University of Vigo, E-36310 Vigo, Spain)

Abstract

We are immersed in the so-called digital energy network, continuously introducing new technological advances for a better way of life. As a consequence, numerous emerging words are relevant to this point: Internet of Things (IoT), big data, smart cities, smart grid, industry 4.0, etc. To achieve this formidable goal, systems should work more efficiently, a fact that inevitably leads to power quality (PQ) assurance. Apart from its economic losses, a bad PQ implies serious risks for machines and, consequently, for people. Many researchers are endeavouring to develop new analysis techniques, instruments, measurement methods, and new indices and norms that match and fulfil the requirements regarding the current operation of the electrical network. This book, and its associated Special Issue, offer a compilation of some of the recent advances in this field. The chapters range from computing to technological implementation, going through event detection strategies and new indices and measurement methods that contribute significantly to the advance of PQ analysis and regulation. Experiments have been developed within the frameworks of research units and projects and deal with real data from industry practice and public buildings. Human beings have an unavoidable commitment to sustainability, which implies adapting PQ monitoring techniques to our dynamic world, defining a digital and smart concept of quality for electricity.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:3:p:514-:d:311315
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    References listed on IDEAS

    as
    1. Jose-Maria Flores-Arias & Manuel Ortiz-Lopez & Francisco J. Quiles Latorre & Francisco Jose Bellido-Outeiriño & Antonio Moreno-Muñoz, 2019. "A Memory-Efficient True-RMS Estimator in a Limited-Resources Hardware," Energies, MDPI, vol. 12(9), pages 1-18, May.
    2. Matilde De Apráiz & Ramón I. Diego & Julio Barros, 2018. "An Extended Kalman Filter Approach for Accurate Instantaneous Dynamic Phasor Estimation," Energies, MDPI, vol. 11(11), pages 1-11, October.
    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. Alexandre Serrano-Fontova & Pablo Casals Torrens & Ricard Bosch, 2019. "Power Quality Disturbances Assessment during Unintentional Islanding Scenarios. A Contribution to Voltage Sag Studies," Energies, MDPI, vol. 12(16), pages 1-21, August.
    6. 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.
    7. Michal Ptacek & Vaclav Vycital & Petr Toman & Jan Vaculik, 2019. "Analysis of Dense-Mesh Distribution Network Operation Using Long-Term Monitoring Data," Energies, MDPI, vol. 12(22), pages 1-25, November.
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