Title :
A Performance Review of Lagrangian Relaxation Method for Unit Commitment in Korean Electricity Market
Author :
Hur, Don ; Jeong, Hae Seong ; Lee, Heung Jae
Author_Institution :
Dept. of Electr. Eng., Kwangwoon Univ., Seoul
Abstract :
In 2001, AREVA´s optimization solution, Resource Scheduling and Commitment (RSC), was launched to solve the unit commitment problem in Korean electricity market. At this stage we are making a full review of it, tacking benefits of the recent advances in the operational research field. To begin with, the features of Korean electricity market are briefly described and then many of the inherent problems associated with Lagrangian Relaxation (LR) algorithms are ferreted out through stark contrast with the robust and flexible Mixed Integer Programming (MIP) formulation.
Keywords :
integer programming; power generation scheduling; power markets; relaxation theory; Korean electricity market; Lagrangian relaxation method; flexible mixed integer programming; resource commitment; resource scheduling; unit commitment problem; Business; Electricity supply industry; Job shop scheduling; Lagrangian functions; Law; Legal factors; Linear programming; Monopoly; Power generation; Relaxation methods; Economic dispatch; Korean electricity market; Lagrangian relaxation; Mixed integer programming; Unit commitment;
Conference_Titel :
Power Tech, 2007 IEEE Lausanne
Conference_Location :
Lausanne
Print_ISBN :
978-1-4244-2189-3
Electronic_ISBN :
978-1-4244-2190-9
DOI :
10.1109/PCT.2007.4538657
