DocumentCode :
1945889
Title :
Methodological Priority List for Unit Commitment Problem
Author :
Tingfang, Yang ; Ting, T.O.
Author_Institution :
Sch. of Electr. & Inf. Eng., Changsha Univ. of Sci. & Technol., Changsha
Volume :
1
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
176
Lastpage :
179
Abstract :
In the modern competitive electricity supply industry, there is a renewed interest in algorithms that can provide fast and optimal solutions for savings in operation costs. A novel methodological strategy incorporating the priority list is proposed to provide efficient solutions. Thus, we call the proposed method as methodological priority list (MPL) method. The MPL is simpler and more efficient than conventional priority list method. Problem formulation of the unit commitment (UC) takes into consideration the minimum up (MU) and minimum down (MD) time constraints, start up cost and spinning reserve, and is defined as the minimization of the total objective function while satisfying all the associated constraints. The economic dispatch (ED) is solved using the lambda iteration method. The simplicity of the MPL and fast calculation of ED leads to a methodological and competent method in comparison with conventional method. MPL provides deterministic solution, a criterion preferred for industrial applications. Also, it does not encounter premature convergence and is more reliable.
Keywords :
iterative methods; power generation dispatch; power generation planning; power generation scheduling; competitive electricity supply industry; economic dispatch; lambda iteration method; methodological priority list method; minimum up time constraints; power systems planning; total objective function; unit commitment problem; Computer science; Cost function; Economic forecasting; Evolutionary computation; Large-scale systems; Power generation economics; Power system planning; Power system reliability; Quadratic programming; Software engineering; Economic Dispatch; Methodological Priority List (MPL); Unit Commitment; deterministic solution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
Type :
conf
DOI :
10.1109/CSSE.2008.714
Filename :
4721720
Link To Document :
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