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
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