Interior-point based algorithms for the solution of optimal power flow problems

被引：117

作者：

Capitanescu, Florin ^{[1
]}

Glavic, Mevludin ^{[1
]}

Ernst, Damien ^{[1
]}

Wehenkel, Louis ^{[1
]}

机构：

[1] Univ Liege, Inst Montefiore, Dept Elect Engn & Comp Sci, B-4000 Liege, Belgium

来源：

ELECTRIC POWER SYSTEMS RESEARCH | 2007年 / 77卷 / 5-6期

关键词：

optimal power flow; interior-point method; nonlinear programming;

D O I：

10.1016/j.epsr.2006.05.003

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Interior-point method (IPM) is a very appealing approach to the optimal power flow (OPF) problem mainly due to its speed of convergence and ease of handling inequality constraints. This paper analyzes the ability of three interior-point (IP) based algorithms, namely the pure primal-dual (PD), the predictor-corrector (PC) and the multiple centrality corrections (MCC), to solve various classical OPF problems: minimization of overall generation cost, minimization of active power losses, maximization of power system loadability and minimization of the amount of load curtailment. These OPF variants have been formulated using a rectangular model for the (complex) voltages. Numerical results on three test systems of 60, 118 and 300 buses are reported. (C) 2006 Elsevier B.V. All rights reserved.

引用

页码：508 / 517

页数：10

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