Methodology for optimal sizing of stand-alone photovoltaic/wind-generator systems using genetic algorithms

A methodology for optimal sizing of stand-alone PV/WG systems is presented. The purpose of the proposed methodology is to suggest, among a list of commercially available system devices, the optimal number and type of units ensuring that the 20-year round total system cost is minimized subject to the...

Full description

Saved in:
Bibliographic Details
Published in:Solar energy 2006-01, Vol.80 (9), p.1072-1088
Main Authors: Koutroulis, Eftichios, Kolokotsa, Dionissia, Potirakis, Antonis, Kalaitzakis, Kostas
Format: Article
Language:English
Subjects:
Applied sciences
Energy
Equipments, installations and applications
Exact sciences and technology
Generators
Genetic algorithms
Natural energy
Photovoltaic cells
Photovoltaic conversion
Photovoltaic power systems
Solar energy
Wind energy
Wind power
Wind power generation
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A methodology for optimal sizing of stand-alone PV/WG systems is presented. The purpose of the proposed methodology is to suggest, among a list of commercially available system devices, the optimal number and type of units ensuring that the 20-year round total system cost is minimized subject to the constraint that the load energy requirements are completely covered, resulting in zero load rejection. The 20-year round total system cost is equal to the sum of the respective components capital and maintenance costs. The cost (objective) function minimization is implemented using genetic algorithms, which, compared to conventional optimization methods such as dynamic programming and gradient techniques, have the ability to attain the global optimum with relative computational simplicity. The proposed method has been applied for the design of a power generation system which supplies a residential household. The simulation results verify that hybrid PV/WG systems feature lower system cost compared to the cases where either exclusively WG or exclusively PV sources are used.
ISSN:0038-092X
1471-1257
DOI:10.1016/j.solener.2005.11.002