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Information support for the task of estimation the quality of functioning of the electricity distribution power grids with renewable energy source

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F20%3A43959090" target="_blank" >RIV/49777513:23220/20:43959090 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/9159965" target="_blank" >https://ieeexplore.ieee.org/document/9159965</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ESS50319.2020.9159965" target="_blank" >10.1109/ESS50319.2020.9159965</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Information support for the task of estimation the quality of functioning of the electricity distribution power grids with renewable energy source

  • Original language description

    The problem of information support of the task of estimating the quality of functioning of the distribution power grids (DPG) with renewable energy sources (RES) is considered. The analysis of information support of this task is carried out. In this article is presented a two-levels monitoring and control system architecture, within the SmartGrid concept. This system implements active end-consumers behavior, optimum integration of distributed generation (DG), power storage systems of various types and capacities into electricity grids. Proposed two-levels monitoring and control system architecture will allow increasing the reliability and quality of electricity.

  • 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

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2020 IEEE 7th International Conference on Energy Smart Systems (ESS 2020) : /Conference Proceedings/

  • ISBN

    978-1-72812-159-8

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    168-171

  • Publisher name

    IEEE

  • Place of publication

    Piscaway

  • Event location

    Kyiv, Ukraine

  • Event date

    May 12, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article