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Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/3EC9C997-80D8-4C04-A7B6-C4D1500EFCC5 | - |
| Identifier | https://doi.org/10.1016/j.solener.2005.11.002 | - |
| Language | en | - |
| Extent | 17 pages | en |
| Title | Methodology for optimal sizing of stand-alone photovoltaic/wind-generator systems using genetic algorithms | en |
| Creator | Kolokotsa Dionysia | en |
| Creator | Κολοκοτσα Διονυσια | el |
| Creator | Kalaitzakis Kostas | en |
| Creator | Καλαϊτζακης Κωστας | el |
| Creator | Antonis Potirakis | en |
| Creator | Koutroulis Eftychios | en |
| Creator | Κουτρουλης Ευτυχιος | el |
| Publisher | Elsevier | en |
| Content 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. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-08 | - |
| Date of Publication | 2006 | - |
| Subject | GAs (Algorithms) | en |
| Subject | Genetic searches (Algorithms) | en |
| Subject | genetic algorithms | en |
| Subject | gas algorithms | en |
| Subject | genetic searches algorithms | en |
| Subject | Photovoltaic energy systems | en |
| Subject | Photovoltaic facilities | en |
| Subject | Photovoltaic power plants | en |
| Subject | Photovoltaic solar generating plants | en |
| Subject | Power plants, Photovoltaic | en |
| Subject | Power systems, Photovoltaic | en |
| Subject | photovoltaic power systems | en |
| Subject | photovoltaic energy systems | en |
| Subject | photovoltaic facilities | en |
| Subject | photovoltaic power plants | en |
| Subject | photovoltaic solar generating plants | en |
| Subject | power plants photovoltaic | en |
| Subject | power systems photovoltaic | en |
| Bibliographic Citation | E. Koutroulis, D. Kolokotsa, A. Potirakis , K. Kalaitzakis, “Methodology for optimal sizing of stand-alone photovoltaic/wind-generator systems using genetic algorithms”, Sol. Energy, Vol. 80, no. 9, pp. 1072-1088, Sept. 2006. doi:10.1016/j.solener.2005.11.002 | en |
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