IDEAS home Printed from https://ideas.repec.org/a/ids/ijient/v9y2022i3p357-369.html
   My bibliography  Save this article

Optimal power flow with renewable energy resources using static VAR compensator and grey wolf optimisation

Author

Listed:
  • M. Rambabu
  • G.V. Nagesh Kumar
  • Polamraju V.S. Sobhan

Abstract

The technical and economic performance of electrical power system networks is being improved by using renewable energy sources like solar, wind to the conventional power systems. In this paper, a composite bus utilisation index is used for the placing of static VAR compensator (SVC) and sized using grey wolf (GWO) algorithm for reduction of active power loss, fuel cost with valve-point effect and carbon emissions in a power system with renewable energy sources. Composite bus utilisation index (CBUI) is a blend of Vi/Vo index and L-index and determines the weak bus of the modern electrical system. The power to be delivered by wind and solar generation is determined by the Weibull probability density function (PDF) and lognormal PDF and interconnected to the power system network. The SVC is placed at the maximum value of CBUI, and the tuning of SVC at the proposed location is done with grey wolf algorithm. This methodology is applied to IEEE 57 bus systems to find the efficiency of the approach under various loading conditions.

Suggested Citation

  • M. Rambabu & G.V. Nagesh Kumar & Polamraju V.S. Sobhan, 2022. "Optimal power flow with renewable energy resources using static VAR compensator and grey wolf optimisation," International Journal of Intelligent Enterprise, Inderscience Enterprises Ltd, vol. 9(3), pages 357-369.
    • Handle: RePEc:ids:ijient:v:9:y:2022:i:3:p:357-369
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=123760
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijient:v:9:y:2022:i:3:p:357-369. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=167 .

    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.