DocumentCode
2376125
Title
A probabilistic joint energy and spinning reserve market model
Author
Ahmadi-Khatir, A. ; Cherkaoui, R.
Author_Institution
Electr. & Electron. Inst., Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland
fYear
2010
fDate
25-29 July 2010
Firstpage
1
Lastpage
6
Abstract
Both deterministic and probabilistic approaches can be used to establish spinning reserve requirements. It has been proved that determining reserve requirements based on probabilistic approaches results in more economical efficiency. So, a probabilistic security constraint unit commitment problem (SCUC) is used to clear energy and spinning reserve simultaneously and to determine system spinning reserve requirement in this paper. Also, the expected load interruption costs of DisCos are incorporated in the SCUC objective function. IEEE reliability test system (IEEE-RTS) is used to demonstrate the presented model.
Keywords
power generation dispatch; power generation economics; power generation reliability; power generation scheduling; probability; IEEE reliability test system; economical efficiency; expected energy not served; probabilistic joint energy reserve model; security constraint unit commitment; spinning reserve market model; Expected energy not served (EENS); Simultaneous Market Clearing; Spinning Reserve(SR); Value of Lost Load (VOLL);
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting, 2010 IEEE
Conference_Location
Minneapolis, MN
ISSN
1944-9925
Print_ISBN
978-1-4244-6549-1
Electronic_ISBN
1944-9925
Type
conf
DOI
10.1109/PES.2010.5589383
Filename
5589383
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