Primal-dual logarithmic barrier and augmented Lagrangian function to the loss minimization in power systems

被引:15
作者
Baptista, EC
Belati, EA
Sousa, VA
Da Costa, GRM
机构
[1] USP, EESC, SEL, BR-13566590 Sao Paulo, Brazil
[2] Sao Paulo State Univ UNESP, Sao Paulo, Brazil
基金
巴西圣保罗研究基金会;
关键词
barrier function; nonlinear programming; optimization methods; reactive dispatch;
D O I
10.1080/15325000500488602
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 [电气工程]; 0809 [电子科学与技术];
摘要
This article presents a new approach to minimize the losses in electrical power systems. This approach considers the application of the primal-dual logarithmic barrier method to voltage magnitude and tap-changing transformer variables, and the other inequality constraints are treated by augmented Lagrangian method. The Lagrangian function aggregates all the constraints. The first-order necessary conditions are reached by Newton's method, and by updating the dual variables and penalty factors. Test results are presented to show the good performance of this approach.
引用
收藏
页码:775 / 784
页数:10
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