DocumentCode :
2342717
Title :
Genetic algorithm-based investigation of load growth factor effect on the network loss in TNEP
Author :
Kazemi, Ahad ; Jalilzadeh, Saeed ; Mahdavi, Meisam ; Haddadian, Hosein
Author_Institution :
Electr. Eng. Dept., Iran Univ. of Sci. & Technol., Tehran
fYear :
2008
fDate :
3-5 June 2008
Firstpage :
764
Lastpage :
769
Abstract :
Transmission network expansion planning (TNEP) is a basic part of power network expansion planning. Up to now, various papers have been presented on the field of static transmission network expansion planning (STNEP). But, in all of them, the effect of load growth on the network loss in transmission networks with different voltage levels has not been investigated. Therefore, in this paper, STNEP has been studied considering the effect of load growth factor on the network loss in a transmission network with two different voltage levels using genetic algorithm (GA). Finally the proposed idea is examined on Garverpsilas six-bus network. The results show that the load growth factor has important effect on the network loss rate and subsequent type of the network arrangement.
Keywords :
genetic algorithms; losses; power transmission planning; Garvers six-bus network; TNEP; genetic algorithm; load growth factor effect; network loss; transmission network expansion planning; Cost function; Genetic algorithms; Mathematical model; Power system economics; Power system planning; Power system reliability; Propagation losses; Substations; Technology planning; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1717-9
Electronic_ISBN :
978-1-4244-1718-6
Type :
conf
DOI :
10.1109/ICIEA.2008.4582618
Filename :
4582618
Link To Document :
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