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A-Posteriori Synchronization of Power Quality Data in Smart Grids

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F21%3A00009146" target="_blank" >RIV/46747885:24220/21:00009146 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9468829" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9468829</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ECMSM51310.2021.9468829" target="_blank" >10.1109/ECMSM51310.2021.9468829</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A-Posteriori Synchronization of Power Quality Data in Smart Grids

  • Original language description

    This paper is concerned with synchronizing smart meter data in post-processing. A-posteriori synchronization is necessary in cases where real time online synchronization failed or was unavailable. In the paper, a simple method to synchronize power quality data series from multiple meters is proposed. The method analyses similarities in voltage data and estimates the lags between the meters. In order to obtain a single data series representing the most relevant phenomena that happen at the location of the smart meter, Singular Value Decomposition is used. It helps to decrease the dimensionality of the smart meter data to one. To synchronize the time of two or more metering devices the correlation between data series were calculated. Distance between zero and the maximum absolute peak of the cross-correlation is taken as a lag. For signals containing transients and dips, accuracy may be increased by correlating the first order difference of the signals. The output of the proposed algorithm is the value of signals‘ time lags. The accuracy of the algorithm is limited by the aggregation level of data under examination.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2021 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics, ECMSM 2021

  • ISBN

    978-153861757-1

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    IEEE

  • Place of publication

  • Event location

    Liberec

  • Event date

    Jan 1, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article