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
Link To Document :
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