DocumentCode :
384810
Title :
The interior point branch and cut method for optimal power flow
Author :
Xiaoying, Ding ; Xifan, Wang ; Yonghua, Song ; Jian, Geng
Author_Institution :
Dept. of Electr. Eng., Xi´´an Jiaotong Univ., China
Volume :
1
fYear :
2002
fDate :
13-17 Oct 2002
Firstpage :
651
Abstract :
As a complex mixed integer nonlinear programming problem, optimal power flow (OPF) is hardly to be solved by strict polynomial-time algorithm. In this paper, we present an interior point branch and cut method (IPBCM) for decoupled OPF problem. We use the modern interior point algorithm to solve active power suboptimal problem because it is very efficient for nonlinear programming problem. Reactive power suboptimal problem is a mixed integer nonlinear programming problem, we use IPBCM to iteratively solve its linearizations. Compared with simplex cutting plane method, IPBCM is more efficient because of its polynomial-time characteristic. Furthermore, we discuss some important issues in the implementation of IPBCM. Numerical simulations on IEEE 14-57 buses standard test systems have shown that the proposed method is efficient in solving OPT problems for large-scale power systems.
Keywords :
integer programming; load flow; nonlinear programming; transmission network calculations; IEEE 14-57 buses standard test systems; complex mixed integer nonlinear programming; interior point branch and cut method; mixed integer nonlinear programming problem; modern interior point algorithm; optimal power flow; polynomial-time characteristic; reactive power suboptimal problem; Integer linear programming; Iterative algorithms; Large-scale systems; Load flow; Numerical simulation; Optimized production technology; Polynomials; Power system simulation; Reactive power; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on
Print_ISBN :
0-7803-7459-2
Type :
conf
DOI :
10.1109/ICPST.2002.1053623
Filename :
1053623
Link To Document :
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