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Finite control set model predictive control of static compensator

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F19%3A43955482" target="_blank" >RIV/49777513:23220/19:43955482 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8781514" target="_blank" >https://ieeexplore.ieee.org/document/8781514</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ISIE.2019.8781514" target="_blank" >10.1109/ISIE.2019.8781514</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Finite control set model predictive control of static compensator

  • Original language description

    Static Var Compensators (SVC) are related to improve quality of electrical energy in power grids. There are described two topologies of the static var compensator in the paper. First of them is a star/Y-connected topology and the second one is a delta/D-connected topology. Both are composed of Hbridge converters as power sources because their possible enhancement for higher powers and particularly voltage levels. A new control strategy of the SVC based on finite control set model predictive control is also proposed. The control strategy is supported by PQ theory to determine the reference values of compensating currents. Mathematical models of both topologies are also derived. The proposed control strategy is verified by simulations of both SVC topologies.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the IEEE International Symposium on Industrial Electronics (ISIE 2019)

  • ISBN

    978-1-72813-666-0

  • ISSN

    2163-5137

  • e-ISSN

    2163-5145

  • Number of pages

    6

  • Pages from-to

    858-863

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Vancouver, BC, Canada

  • Event date

    Jun 12, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000500998700129