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Global Harmonic Parameters for Estimation of Power Quality Indices: An Approach for PMUs

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  • David Granados-Lieberman

    (Departamento de Ingeniería Electromecánica, Tecnológico Nacional de México, Instituto Tecnológico Superior de Irapuato (ITESI), Carr. Irapuato-Silao km 12.5, Colonia El Copal, Irapuato 36821, Guanajuato, Mexico)

Abstract

For wide-area measurement systems and smart grids, phasor measurement units (PMUs) have become key elements since they provide synchronized information related to the fundamental frequency components of voltages and currents. In recent years, some works have extended the concept of PMU to harmonic analysis due to the proliferation of nonlinear loads. In this work, as a first contribution, the reference model for P-class and M-class PMUs provided by the IEEE Standard C37.118.1 is expanded with the aim of obtaining the harmonic information and electric power quantities. Additionally, as a second contribution, the approach of global harmonic parameters (GHPs) for PMUs is proposed. Specifically, GHPs are introduced in this work as unified quantities regarding the overall harmonic content of voltages and currents signals. With the help of these parameters, the estimation of power quality indices (PQIs) according to the IEEE Standard 1459 can be carried out but with an important advantage, i.e., a reduced amount of data, which reduces the requirements of management, storage, and analysis. Finally, the mathematical formulations for PQIs using the proposal are also presented. It is important to mention that they are equivalent to classical formulations that use individual harmonic information; however, they exploit the advantage of PMUs that require a reduced amount of data. Several tests with synthetic and real signals are carried out to validate the proposal. Results demonstrate the effectiveness and usefulness of the proposed approach.

Suggested Citation

  • David Granados-Lieberman, 2020. "Global Harmonic Parameters for Estimation of Power Quality Indices: An Approach for PMUs," Energies, MDPI, vol. 13(9), pages 1-17, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:9:p:2337-:d:355223
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    References listed on IDEAS

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    1. Mingxing Tian & Yaomin Wang & Jun Li, 2019. "Comprehensive Harmonic Responsibility Calculation Based on Different Weighting Methods," Energies, MDPI, vol. 12(23), pages 1-17, November.
    2. Konstantinos Oureilidis & Kyriaki-Nefeli Malamaki & Konstantinos Gallos & Achilleas Tsitsimelis & Christos Dikaiakos & Spyros Gkavanoudis & Milos Cvetkovic & Juan Manuel Mauricio & Jose Maria Maza Ort, 2020. "Ancillary Services Market Design in Distribution Networks: Review and Identification of Barriers," Energies, MDPI, vol. 13(4), pages 1-44, February.
    3. Mojgan Hojabri & Ulrich Dersch & Antonios Papaemmanouil & Peter Bosshart, 2019. "A Comprehensive Survey on Phasor Measurement Unit Applications in Distribution Systems," Energies, MDPI, vol. 12(23), pages 1-23, November.
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    1. Jose Roberto Razo-Hernandez & Ismael Urbina-Salas & Guillermo Tapia-Tinoco & Juan Pablo Amezquita-Sanchez & Martin Valtierra-Rodriguez & David Granados-Lieberman, 2020. "Improved Performance of M-Class PMUs Based on a Magnitude Compensation Model for Wide Frequency Deviations," Mathematics, MDPI, vol. 8(8), pages 1-21, August.

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