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
Link To Document :
بازگشت