DocumentCode :
2915073
Title :
Optimal Power Flow Based on Modified Genetic Algorithm
Author :
Moasheri, Seyed Reza ; Khazraei, Masoud
Author_Institution :
Islamic Azad Univ., Gonabad, Iran
fYear :
2011
fDate :
25-28 March 2011
Firstpage :
1
Lastpage :
5
Abstract :
Cost minimization is one of the main goals in electric market so economic dispatch and load allocating, named as optimal power flow (OPF), are more interesting concerns. In this paper a Modified Genetic Algorithm (MGA) is presented for the solution of the OPF. The control variables are unit active power outputs, generator-bus voltages and discrete transformer-tap settings. To overcome the operating constraints such as line flow limits, generator capabilities, and bus voltage amplitude limits, are all included in MGA fitness function. The simulation results have shown the MGA is more efficient and more convergence in compare with other attempts.
Keywords :
genetic algorithms; load flow; power systems; power transformers; MGA fitness function; control variables; cost minimization; discrete transformer-tap settings; electric market; generator-bus voltages; modified genetic algorithm; optimal power flow; power system; Fuels; Gallium; Generators; Genetic algorithms; Load flow; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
ISSN :
2157-4839
Print_ISBN :
978-1-4244-6253-7
Type :
conf
DOI :
10.1109/APPEEC.2011.5747746
Filename :
5747746
Link To Document :
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