DocumentCode :
1454666
Title :
Long-term thermal power planning at VEW ENERGIE using a multi-interval Bloom and Gallant method
Author :
Nabona, Narcís ; Gil, César ; Albrecht, Jens
Author_Institution :
Dept. of Stat. & Oper. Res., Univ. Politecnica de Catalunya, Barcelona, Spain
Volume :
16
Issue :
1
fYear :
2001
fDate :
2/1/2001 12:00:00 AM
Firstpage :
69
Lastpage :
77
Abstract :
Bloom and Gallant have proposed an elegant model for finding the optimal thermal schedule subject to matching the load duration curve and general linear constraints. Their method is based on a linear program with some linear equality constraints and many linear inequality constraints. There are well-documented specialized linear programming algorithms that are able to solve this problem. This paper proposes the extension of the Bloom and Gallant model to several successive intervals with constraints on generation encompassing different intervals. A procedure for finding an initial feasible point, which is an essential part of the solution procedure, is described here, together with details of the modeling of several operational constraints and computational results with real test cases
Keywords :
linear programming; power generation planning; power generation scheduling; stochastic processes; thermal power stations; VEW ENERGIE; active set optimisation; economics; generation constraints; initial feasible point; linear constraints; linear equality constraints; linear inequality constraints; linear programming; load duration curve matching; load modeling; long term power generation scheduling; long-term thermal power planning; multi-interval Bloom and Gallant method; operational constraints; optimal thermal schedule; stochastic processes; thermal power generation; Economic forecasting; Fuel economy; Gas insulated transmission lines; Linear programming; Operations research; Power generation economics; Power generation planning; Stochastic processes; Thermal loading; Uncertainty;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.910783
Filename :
910783
Link To Document :
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