IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i9p2337-d355223.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/9/2337/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/9/2337/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    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. 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.

    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. Rancilio, G. & Rossi, A. & Falabretti, D. & Galliani, A. & Merlo, M., 2022. "Ancillary services markets in europe: Evolution and regulatory trade-offs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    2. Theofilos A. Papadopoulos & Kalliopi D. Pippi & Georgios A. Barzegkar-Ntovom & Eleftherios O. Kontis & Angelos I. Nousdilis & Christos L. Athanasiadis & Georgios C. Kryonidis, 2023. "Validation of a Holistic System for Operational Analysis and Provision of Ancillary Services in Active Distribution Networks," Energies, MDPI, vol. 16(6), pages 1-27, March.
    3. Kalyani Makarand Kurundkar & Geetanjali Abhijit Vaidya, 2023. "Stochastic Security-Constrained Economic Dispatch of Load-Following and Contingency Reserves Ancillary Service Using a Grid-Connected Microgrid during Uncertainty," Energies, MDPI, vol. 16(6), pages 1-25, March.
    4. Chinmayee Biswal & Binod Kumar Sahu & Manohar Mishra & Pravat Kumar Rout, 2023. "Real-Time Grid Monitoring and Protection: A Comprehensive Survey on the Advantages of Phasor Measurement Units," Energies, MDPI, vol. 16(10), pages 1-34, May.
    5. Hu, Qian & Zhu, Ziqing & Bu, Siqi & Wing Chan, Ka & Li, Fangxing, 2021. "A multi-market nanogrid P2P energy and ancillary service trading paradigm: Mechanisms and implementations," Applied Energy, Elsevier, vol. 293(C).
    6. Ricardo Silva & Everton Alves & Ricardo Ferreira & José Villar & Clara Gouveia, 2021. "Characterization of TSO and DSO Grid System Services and TSO-DSO Basic Coordination Mechanisms in the Current Decarbonization Context," Energies, MDPI, vol. 14(15), pages 1-30, July.
    7. Nemanja Mišljenović & Matej Žnidarec & Goran Knežević & Damir Šljivac & Andreas Sumper, 2023. "A Review of Energy Management Systems and Organizational Structures of Prosumers," Energies, MDPI, vol. 16(7), pages 1-32, March.
    8. Kotarela, F. & Kyritsis, A. & Papanikolaou, N. & Kalogirou, S.A., 2021. "Enhanced nZEB concept incorporating a sustainable Grid Support Scheme," Renewable Energy, Elsevier, vol. 169(C), pages 714-725.
    9. Jing Zhang & Yiqi Li & Zhi Wu & Chunyan Rong & Tao Wang & Zhang Zhang & Suyang Zhou, 2021. "Deep-Reinforcement-Learning-Based Two-Timescale Voltage Control for Distribution Systems," Energies, MDPI, vol. 14(12), pages 1-15, June.
    10. 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.
    11. Kontis, Eleftherios O. & Rodríguez del Nozal, Alvaro & Dimoulias, Stelios C. & Mauricio, Juan M., 2024. "Dynamic equivalent model of active distribution networks providing frequency-related ancillary services to the transmission system," Applied Energy, Elsevier, vol. 367(C).
    12. Pedro, Andressa & Krutnik, Mikolaj & Yadack, Van Malcolm & Pereira, Lucas & Morais, Hugo, 2023. "Opportunities and challenges for small-scale flexibility in European electricity markets," Utilities Policy, Elsevier, vol. 80(C).
    13. Marios-Charilaos Sousounis & Epameinondas (Nondas) Floros & Fotios-Konstantinos Paterakis & Christos Dikaiakos & Ioannis Moraitis, 2023. "Voltage Control Market Integration: Technical and Regulatory Challenges for the Greek Electricity Market," Energies, MDPI, vol. 16(5), pages 1-16, February.
    14. Luigi Viola & Saeed Nordin & Daniel Dotta & Mohammad Reza Hesamzadeh & Ross Baldick & Damian Flynn, 2023. "Ancillary Services in Power System Transition Toward a 100% Non-Fossil Future: Market Design Challenges in the United States and Europe," Papers 2311.02090, arXiv.org.
    15. Menghwar, Mohan & Yan, Jie & Chi, Yongning & Asim Amin, M. & Liu, Yongqian, 2024. "A market-based real-time algorithm for congestion alleviation incorporating EV demand response in active distribution networks," Applied Energy, Elsevier, vol. 356(C).
    16. Fco. Javier Zarco-Soto & Pedro J. Zarco-Periñán & Jose L. Martínez-Ramos, 2021. "Centralized Control of Distribution Networks with High Penetration of Renewable Energies," Energies, MDPI, vol. 14(14), pages 1-13, July.
    17. Frauke Oest & Malin Radtke & Marita Blank-Babazadeh & Stefanie Holly & Sebastian Lehnhoff, 2021. "Evaluation of Communication Infrastructures for Distributed Optimization of Virtual Power Plant Schedules," Energies, MDPI, vol. 14(5), pages 1-20, February.
    18. Paolo Scarabaggio & Raffaele Carli & Graziana Cavone & Mariagrazia Dotoli, 2020. "Smart Control Strategies for Primary Frequency Regulation through Electric Vehicles: A Battery Degradation Perspective," Energies, MDPI, vol. 13(17), pages 1-19, September.
    19. Karthikeyan Subramanian & Ashok Kumar Loganathan, 2020. "Islanding Detection Using a Micro-Synchrophasor for Distribution Systems with Distributed Generation," Energies, MDPI, vol. 13(19), pages 1-31, October.
    20. Alessandro Mingotti & Federica Costa & Lorenzo Peretto & Roberto Tinarelli, 2021. "Closed-Form Expressions to Estimate the Mean and Variance of the Total Vector Error," Energies, MDPI, vol. 14(15), pages 1-15, July.

    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:13:y:2020:i:9:p:2337-:d:355223. 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.