DocumentCode
1758796
Title
Multicriteria Optimal Sizing of Photovoltaic-Wind Turbine Grid Connected Systems
Author
Alsayed, M. ; Cacciato, M. ; Scarcella, Giuseppe ; Scelba, G.
Author_Institution
Dept. of Electr., Electron. Eng., & Comput. Sci., Univ. of Catania, Catania, Italy
Volume
28
Issue
2
fYear
2013
fDate
41426
Firstpage
370
Lastpage
379
Abstract
Power generation systems (PGSs) based on hybrid renewable energy are one of the promising solutions for future distributed generation systems. Among different configurations, hybrid photovoltaic-wind turbine (PV-WT) grid connected PGSs are the most adopted for their good performance. However, due to the complexity of the system, the optimal balance between these two energy sources requires particular attention to achieve a good engineering solution. This paper deals with the optimal sizing of PV-WT by adopting different multicriteria decision analysis (MCDA) optimization approaches. Sensitivity of MCDA algorithms has been analyzed, by considering different weighting criteria techniques with different fluctuation scenarios of wind speed and solar radiation profiles, thus highlighting advantages and drawbacks of the proposed optimal sizing approaches. The following study could be assumed as a powerful roadmap for decision makers, analysts, and policy makers.
Keywords
decision making; distributed power generation; hybrid power systems; optimisation; photovoltaic power systems; wind turbines; MCDA algorithms; PV-WT grid; decision makers; distributed generation systems; energy sources; hybrid photovoltaic-wind turbine; hybrid renewable energy; multicriteria decision analysis; multicriteria optimal sizing; optimization approaches; photovoltaic-wind turbine grid connected systems; policy makers; power generation systems; weighting criteria techniques; Economics; Mathematical model; Photovoltaic systems; Temperature measurement; Wind speed; Wind turbines; Design optimization; hybrid power systems; multicriteria decision analysis; photovoltaic systems; wind generation systems;
fLanguage
English
Journal_Title
Energy Conversion, IEEE Transactions on
Publisher
ieee
ISSN
0885-8969
Type
jour
DOI
10.1109/TEC.2013.2245669
Filename
6479692
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