IDEAS home Printed from https://ideas.repec.org/a/igg/jitwe0/v9y2014i1p45-58.html
   My bibliography  Save this article

Demand-Driven Algorithm for Sharing and Distribution of Photovoltaic Power in a Small Local Area Grid

Author

Listed:
  • Mohammad Abu-Arqoub

    (Faculty of Information Technology, University of Petra, Amman, Jordan)

  • Ghassan F. Issa

    (Faculty of Information Technology, University of Petra, Amman, Jordan)

  • Ahmad F. Shubita

    (Faculty of Information Technology, University of Petra, Amman, Jordan)

  • Abed Alkarim Banna

    (Faculty of Information Technology, University of Petra, Amman, Jordan)

Abstract

The objective of installing a residential photovoltaic system is to cut the cost of the monthly electric bill. However, many homeowners, especially those with low-income, finds it difficult to invest in such systems because require substantial upfront investment. This paper presents a project called PSD-LAG(“Sharing and Distribution of Power-Local Area Grid”) which attempts to solve the issue of installation cost relying on the concept of power sharing and distribution. Thus two or more neighboring households can share the cost of installation, and accordingly share the generated electric power. A Demand-Driven algorithm is implemented and is embedded in a micro-processor based control unit, called “Intelligent Power Distribution and Control Unit (IPDC Unit)”, over sees the operation of the PSD-LAG system. It reads the status of generated power, power requirements for each home, power quota for each home, and accordingly controls a set of hardware devices to distribute the power in a most efficient manner based on usage and quota. At the core of the PSD-LAG is an Intelligent Power Distribution and Control Unit (IPDC Unit) that provides instantaneous monitoring, protection and control. It is an embedded Operating System that reads the status of generated power, power requirements for each home, power quota for each home, and accordingly controls a set of hardware devices to distribute the power in a most efficient manner based on usage and quota.

Suggested Citation

  • Mohammad Abu-Arqoub & Ghassan F. Issa & Ahmad F. Shubita & Abed Alkarim Banna, 2014. "Demand-Driven Algorithm for Sharing and Distribution of Photovoltaic Power in a Small Local Area Grid," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 9(1), pages 45-58, January.
  • Handle: RePEc:igg:jitwe0:v:9:y:2014:i:1:p:45-58
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijitwe.2014010104
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Palm, Jenny, 2018. "Household installation of solar panels – Motives and barriers in a 10-year perspective," Energy Policy, Elsevier, vol. 113(C), pages 1-8.

    More about this item

    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:igg:jitwe0:v:9:y:2014:i:1:p:45-58. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.