DocumentCode :
1378068
Title :
Interior-point linear programming algorithm for auction methods
Author :
Dekrajangpetch, Somgiat ; Sheblé, Gerald B.
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
Volume :
15
Issue :
2
fYear :
2000
fDate :
5/1/2000 12:00:00 AM
Firstpage :
572
Lastpage :
578
Abstract :
Interior-point programming (IP) has been applied to many power system problems because of its efficiency for big problems. This paper illustrates application of interior-point linear programming (IPLP) to auction methods. An extended algorithm of IPLP is developed and used in this paper. This extended IPLP algorithm can find the exact optimal solution (i.e., exact optimal vertex) and can recover the optimal basis. Sensitivity analysis can be performed after the optimal basis is found. The sensitivity analysis performed in this paper is increase in the bid price and increase in the flow limit of the transmission line. This extended algorithm is expanded from the affine-scaling primal algorithm. The concept used in this extended algorithm to find the optimal vertex and optimal basis is simple
Keywords :
linear programming; load flow; power system economics; power systems; power transmission lines; sensitivity analysis; affine-scaling primal algorithm; auction methods; bid price increase; exact optimal solution; exact optimal vertex; interior-point linear programming algorithm; optimal basis; power system problems; sensitivity analysis; transmission line flow limit increase; Linear programming; Load flow; Power generation economics; Power system analysis computing; Power system economics; Power system security; Power systems; Power transmission lines; Quadratic programming; Sensitivity analysis;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.867143
Filename :
867143
Link To Document :
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