IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i21p4132-d281698.html
   My bibliography  Save this article

Using True RMS Current Measurements to Estimate Harmonic Impacts of Multiple Nonlinear Loads in Electric Distribution Grids

Author

Listed:
  • Flávia P. Monteiro

    (Campus Oriximiná, Federal University of Western Para, Oriximiná, PA 68270000, Brazil
    Electrical Engineering Department, Federal University of Para, Belém, PA 66075-110, Brazil)

  • Suzane A. Monteiro

    (Campus Oriximiná, Federal University of Western Para, Oriximiná, PA 68270000, Brazil
    Electrical Engineering Department, Federal University of Para, Belém, PA 66075-110, Brazil)

  • Maria E. Tostes

    (Electrical Engineering Department, Federal University of Para, Belém, PA 66075-110, Brazil)

  • Ubiratan H. Bezerra

    (Electrical Engineering Department, Federal University of Para, Belém, PA 66075-110, Brazil)

Abstract

Currently, for analyzing harmonic impacts on voltage at a point of interest, due to multiple nonlinear loads, the literature recommends carrying out simultaneous and synchronized measurement campaigns in all suspicious points with the use of high cost energy quality analyzers that are usually not available at the customers’ facilities and very often also not at the electric utilities. To overcome this drawback this paper proposes a method of assessing the harmonic impact due to multiple nonlinear loads on the total voltage harmonic distortion using only the load current true RMS values which are already available in all customers’ installations. The proposed methodology is based on Regression Tree technique using the Permutation Importance indicator which is validated in two case studies using two different electrical systems. The first case study is to ratify the use of Permutation Importance to measure the impact factor of each nonlinear load in a controlled scenario, the IEEE-13 bus test system, using ATP simulation (Alternative Transient Program). The second is to apply the methodology to a real system, an Advanced Measurement Infrastructure System (AMI) implanted on a campus of a Brazilian University, using low cost meters with only true RMS current measurements. The results achieved demonstrated the feasibility of applying the proposed methodology in real electric systems without the need for additional investments in high-cost energy quality analyzers.

Suggested Citation

  • Flávia P. Monteiro & Suzane A. Monteiro & Maria E. Tostes & Ubiratan H. Bezerra, 2019. "Using True RMS Current Measurements to Estimate Harmonic Impacts of Multiple Nonlinear Loads in Electric Distribution Grids," Energies, MDPI, vol. 12(21), pages 1-21, October.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:21:p:4132-:d:281698
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/21/4132/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/21/4132/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Allan Manito & Ubiratan Bezerra & Maria Tostes & Edson Matos & Carminda Carvalho & Thiago Soares, 2018. "Evaluating Harmonic Distortions on Grid Voltages Due to Multiple Nonlinear Loads Using Artificial Neural Networks," Energies, MDPI, vol. 11(12), pages 1-13, 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. Honorata Sierocka & Maciej Zajkowski & Grzegorz Hołdyński & Zbigniew Sołjan, 2023. "Characteristics of Electricity Consumption on the Example of Poultry Farming in Poland," Energies, MDPI, vol. 16(1), pages 1-17, January.
    2. Antonio E. Saldaña-González & Andreas Sumper & Mònica Aragüés-Peñalba & Miha Smolnikar, 2020. "Advanced Distribution Measurement Technologies and Data Applications for Smart Grids: A Review," Energies, MDPI, vol. 13(14), pages 1-34, July.
    3. Najmat Celene Branco & Carolina M. Affonso, 2020. "Probabilistic Approach to Integrate Photovoltaic Generation into PEVs Charging Stations Considering Technical, Economic and Environmental Aspects," Energies, MDPI, vol. 13(19), pages 1-18, September.

    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. Goran Petrovic & Juraj Alojzije Bosnic & Goran Majic & Marin Despalatovic, 2019. "A Design of PWM Controlled Calibrator of Non-Sinusoidal Voltage Waveforms," Energies, MDPI, vol. 12(10), pages 1-14, May.
    2. Jong-Il Park & Chang-Hyun Park, 2022. "Harmonic Contribution Assessment Based on the Random Sample Consensus and Recursive Least Square Methods," Energies, MDPI, vol. 15(17), pages 1-18, September.
    3. Nien-Che Yang & Danish Mehmood & Kai-You Lai, 2021. "Multi-Objective Artificial Bee Colony Algorithm with Minimum Manhattan Distance for Passive Power Filter Optimization Problems," Mathematics, MDPI, vol. 9(24), pages 1-19, December.

    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:12:y:2019:i:21:p:4132-:d:281698. 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.