DocumentCode :
3244910
Title :
Performance evaluation of Evolutionary Programming and hybrid evolutionary programming for LMP determination at spot electricity market
Author :
Tambe, Varada J. ; Roy, Ranjit
Author_Institution :
Electr. Eng. Dept., Sardar Vallabhbhai Nat. Inst. of Technol., Surat, India
fYear :
2012
fDate :
2-5 Dec. 2012
Firstpage :
194
Lastpage :
199
Abstract :
The paper evaluates performance of Evolutionary Programming (EP) and Hybrid Evolutionary Programming (HEP) algorithm to find optimum Locational Marginal Price (LMP) at various buses of an IEEE-9 bus test system for load variation of 24 hours duration. Based on the figure of demerit, it is found that Hybrid Evolutionary Program yields superior results compared to Evolutionary Program.
Keywords :
evolutionary computation; power markets; pricing; HEP algorithm; IEEE-9 bus test system; LMP determination; hybrid evolutionary programming; optimum LMP; optimum locational marginal price; spot electricity market; time 24 hour; Cost function; Load management; Programming; Reactive power; Sociology; Statistics; Evolutionary Programming; Figure of Demerit; Hybrid Evolutionary Programming; Locational Marginal Price;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy (PECon), 2012 IEEE International Conference on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4673-5017-4
Type :
conf
DOI :
10.1109/PECon.2012.6450205
Filename :
6450205
Link To Document :
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