DocumentCode :
2595842
Title :
Unit commitment considering security-constrained optimal power flow by lagrangian relaxation with genetic algorithm
Author :
Poommalee, Weeraya ; Damrongkulkamjorn, Parnjit
Author_Institution :
Dept. of Electr. Eng., Kasetsart Univ., Bangkok
Volume :
2
fYear :
2008
fDate :
14-17 May 2008
Firstpage :
893
Lastpage :
896
Abstract :
This paper presents unit commitment considering security-constrained optimal power flow (UC-SCOPF) by using Lagrangian relaxation with genetic algorithm (LRGA). The UC from LRGA is checked with optimal power flow (OPF) to ensure power transmission. Under normal operating state, UC may not satisfy system operating constraints in OPF and hence committed units must be adjusted to take into account those constraints. This paper also considers UC taken into account system contingency, which is called UC-SCOPF. The generation outputs for UC-SCOPF are the outputs at normal operating state that ensure the system security when contingency occurs.
Keywords :
genetic algorithms; load flow; power generation dispatch; power generation scheduling; power system security; Lagrangian relaxation; genetic algorithm; power transmission; security-constrained optimal power flow; system contingency; system security; unit commitment; Costs; Genetic algorithms; Genetic engineering; Lagrangian functions; Load flow; Power engineering and energy; Power system security; Power transmission; Power transmission lines; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2008. ECTI-CON 2008. 5th International Conference on
Conference_Location :
Krabi
Print_ISBN :
978-1-4244-2101-5
Electronic_ISBN :
978-1-4244-2102-2
Type :
conf
DOI :
10.1109/ECTICON.2008.4600574
Filename :
4600574
Link To Document :
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