IDEAS home Printed from https://ideas.repec.org/a/epw/ejece0/v4y2020i1id19177.html

Mathematical Model and Analysis of the Z-Source Inverter

Author

Listed:
  • Lina Jawdat Rashad

    (University of Technology Baghdad, Iraq.)

Abstract

Model and analysis of Z-source Inverter is the dominant aspect to investigate the performance of the Z-Source Inverter. This paper presents a comprehensive analysis of the Z-Source Inverter model by the aid of mathematical analytical approach. AC small-signal perturbations are derived based on the state-space averaging model and state variables are linearizations at equilibrium (steady-state values). The AC small-signal model is analyzed to study the changes that occur in the behaviour of ZSI such as change the input voltage, the current that passes through the load, or the shoot-through duty cycle. Moreover, the mathematical model gives the ability of choosing the optimal values of the capacitance and inductance of the Z-source network. The analytical results are verified by comparing them with those of the actual ZSI switching circuit analysis method. The comparison shows significant convergence between the presented analytical method and the actual ZSI analysis method. The percentage errors between the two methods, for both of the state variables (inductance current and capacitance-voltage) in the ZSI, are very acceptable for major analysis requirements. The presented model can replace the actual ZSI switching circuit model in an efficient manner in terms of the accuracy of the results.

Suggested Citation

  • Lina Jawdat Rashad, 2020. "Mathematical Model and Analysis of the Z-Source Inverter," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 4(1), January.
  • Handle: RePEc:epw:ejece0:v:4:y:2020:i:1:id:19177
    DOI: 10.24018/ejece.2020.4.1.177
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejece/article/view/19177
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejece/article/download/19177/11078
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejece.2020.4.1.177?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:epw:ejece0:v:4:y:2020:i:1:id:19177. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejece .

    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.