IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i9p1699-d228452.html
   My bibliography  Save this article

A Memory-Efficient True-RMS Estimator in a Limited-Resources Hardware

Author

Listed:
  • Jose-Maria Flores-Arias

    (R&D Group ‘Industrial Electronic Instrumentation’, Universidad de Córdoba, 14071 Córdoba, Spain)

  • Manuel Ortiz-Lopez

    (R&D Group ‘Industrial Electronic Instrumentation’, Universidad de Córdoba, 14071 Córdoba, Spain)

  • Francisco J. Quiles Latorre

    (R&D Group ‘Industrial Electronic Instrumentation’, Universidad de Córdoba, 14071 Córdoba, Spain)

  • Francisco Jose Bellido-Outeiriño

    (R&D Group ‘Industrial Electronic Instrumentation’, Universidad de Córdoba, 14071 Córdoba, Spain)

  • Antonio Moreno-Muñoz

    (R&D Group ‘Industrial Electronic Instrumentation’, Universidad de Córdoba, 14071 Córdoba, Spain)

Abstract

More and more human activities are increasingly dependent on the power quality energy they are supplied. In particular, those loads that have an electronic switching mode power supply (SMPS) and microcontrollers or microprocessors are very susceptible to de-energization of the AC line as voltage monitoring takes place on the DC end and may not have enough time to cope with a voltage event involving energy loss. There have been many proposals that analyze power quality or current consumption, even those using limited resources hardware or the classic formulas of discrete root mean square (RMS). In this proposal, an approximation to the problem by means of an RMS value estimator that uses as a base a microcontroller of basic range and low economic cost and algorithms of calculation of very low computational cost that elude complex arithmetic operation to controllers, such as powers or roots, is presented. The results of the experiments to which the proposal was subjected show its ability to provide an estimation of the RMS value of voltage with sufficient precision or an event alarm in less time than the options analyzed. The validation tests and functional comparison of the prototype which were carried out support its viability.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:9:p:1699-:d:228452
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/9/1699/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/9/1699/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Moreno-Munoz, A. & Rosa, Juan José González de la & Flores-Arias, J.M. & Bellido-Outerino, F.J. & Gil-de-Castro, A., 2011. "Energy efficiency criteria in uninterruptible power supply selection," Applied Energy, Elsevier, vol. 88(4), pages 1312-1321, April.
    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. 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.

    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. Ruiz-Romero, Salvador & Colmenar-Santos, Antonio & Mur-Pérez, Francisco & López-Rey, África, 2014. "Integration of distributed generation in the power distribution network: The need for smart grid control systems, communication and equipment for a smart city — Use cases," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 223-234.
    2. Fan, Yingzheng & Qian, Fengyu & Huang, Yuankai & Sifat, Iram & Zhang, Chengwu & Depasquale, Alex & Wang, Lei & Li, Baikun, 2021. "Miniature microbial fuel cells integrated with triggered power management systems to power wastewater sensors in an uninterrupted mode," Applied Energy, Elsevier, vol. 302(C).
    3. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Bianchi, Fernando D., 2013. "Energy management of flywheel-based energy storage device for wind power smoothing," Applied Energy, Elsevier, vol. 110(C), pages 207-219.
    4. Abdullah, M.A. & Agalgaonkar, A.P. & Muttaqi, K.M., 2014. "Assessment of energy supply and continuity of service in distribution network with renewable distributed generation," Applied Energy, Elsevier, vol. 113(C), pages 1015-1026.
    5. Trianni, Andrea & Cagno, Enrico & Accordini, Davide, 2019. "Energy efficiency measures in electric motors systems: A novel classification highlighting specific implications in their adoption," Applied Energy, Elsevier, vol. 252(C), pages 1-1.

    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:9:p:1699-:d:228452. 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.