Genetic Algorithm optimisation of stand-alone Photovoltaic energy systems
This article presents the methodology for calculation of the optimum size of a Photovoltaic (PV) system. Long-term data of PV radiation were used to calculate the average power generated by a PV generator for every hour of a typical day in a month. A load of a typical house in the south of Algeria (desert area) was used as a load demand of the system. For a given load and a mixed multiple criteria were used for programming problem, the types and sizes of PV modules generators was calculated based on the minimum cost of system. We investigated the Genetic Algorithm (GA) for optimally sizing a PV power system. We define that the objective function is the total cost where it is the sum of the initial cost, the operation cost and the maintenance cost. We determine an optimal configuration of PV generating systems where the total cost is more optimal using GA. A computer program has been developed to size system components to match the load of the site in the most cost. A cost of electricity, an overall system cost is also calculated for each configuration. The study was performed using a graphical user interface programmed in MATLAB.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 31 (2009)
Issue (Month): 2 ()
|Contact details of provider:|| Web page: http://www.inderscience.com/browse/index.php?journalID==13|
When requesting a correction, please mention this item's handle: RePEc:ids:ijgeni:v:31:y:2009:i:2:p:157-168. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Graham Langley)
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.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.