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