DocumentCode
629545
Title
Transmission expansion planning considering maximizing penetration level of renewable sources
Author
Ugranli, Faruk ; Karatepe, Engin
Author_Institution
Dept. of Electr.-Electron. Eng., Ege Univ., Izmir, Turkey
fYear
2013
fDate
19-21 June 2013
Firstpage
1
Lastpage
5
Abstract
Recently, integration of intermittent sources into the power systems has gained most interest in distributed generation environment. Among the others, wind based generation is the most promising renewable based technology. The volatility of these sources requires the careful planning of power systems. This paper proposed a novel genetic algorithm based method to determine the optimal trade-off between wind energy spilled and transmission line investment by deciding the location of new transmission lines. By this way, power system planners can avoid over investment of transmission lines while providing maximum usage of wind turbines. The proposed method is illustrated using the IEEE 24 bus reliability test system.
Keywords
distributed power generation; genetic algorithms; power generation planning; power transmission lines; power transmission planning; wind power plants; wind turbines; IEEE 24 bus reliability test system; distributed power generation; genetic algorithm; power system planning; power transmission line investment; renewable source penetration level maximization; transmission expansion planning; wind based power generation; wind energy; wind turbine; Economics; Investment; Linear programming; Optimization; Planning; Power systems; Wind power generation; DC power flow; Genetic algorithm; Transmission adequacy; Transmission investment; Wind energy spilled; Wind power;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovations in Intelligent Systems and Applications (INISTA), 2013 IEEE International Symposium on
Conference_Location
Albena
Print_ISBN
978-1-4799-0659-8
Type
conf
DOI
10.1109/INISTA.2013.6577640
Filename
6577640
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