DocumentCode
635355
Title
Optimal renewable generation mix of hydro, wind and photovoltaic for integration into the Portuguese power system
Author
Sousa, J. ; Martins, Alfredo
Author_Institution
INESC-ID, ISEL - Lisbon Eng. Super. Inst., Lisbon, Portugal
fYear
2013
fDate
27-31 May 2013
Firstpage
1
Lastpage
6
Abstract
In spite of the advantages of renewable energy sources (RES), their variability and uncertainty raises important issues in power systems operation, such as the need to balance demand with a highly variable and uncertain power generation. In this context, is of utmost importance the choice of the optimal renewable generation mix to be integrated in the power system in order to accomplish the established renewable energy targets with the lowest technical impacts. With this aim, this paper presents a methodology that supports decision making on the renewable energy policy by deriving the optimal renewable generation mix from different available technologies - hydro, wind and photovoltaic - that integrates a given amount of electricity from renewable sources, taking into account the variability of the renewable generation mix and the target share of renewable generation. This methodology is applied to a case study of one month using renewable generation data of the Portuguese power system.
Keywords
decision making; hydroelectric power; hydroelectric power stations; photovoltaic power systems; wind power; wind power plants; Portuguese power system operation; decision making; hydro power; optimal renewable generation mix integration; photovoltaic; renewable energy policy; renewable energy source; renewable generation mix variability; uncertain power generation; variable power generation; wind power; Correlation; Electricity; Optimization; Power systems; Renewable energy sources; Wind power generation; Large-scale integration; Power systems; Renewable generation mix; Variability;
fLanguage
English
Publisher
ieee
Conference_Titel
European Energy Market (EEM), 2013 10th International Conference on the
Conference_Location
Stockholm
Type
conf
DOI
10.1109/EEM.2013.6607367
Filename
6607367
Link To Document