Globally convergent interior-point algorithm and its application to optimal power flow

被引：0
|
作者：
Quan, Ran [1 ]
Jian, Jinbao [1 ]
Zheng, Haiyan [1 ]
机构：
[1] Guangxi Univ, Coll Math & Informat Sci, Nanning, Peoples R China
来源：
Information, Management and Algorithms, Vol II | 2007年
关键词：
interior-point method; merit function; global convergence; power system; optimal power flow;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the primal-dual interior-point method for general constrainen optimization problems is considered to solve the optimal power flow (OPF) problems. Motivated by the merit functions used by Argaez and Tapia [J. Optim. Theory Appl., 114(2002): 1-25] and Akrotirianakis and Rustem [J. Optim. Theory Appl., 125(2005): 497-521], we present a new merit function. Using this new merit function, we propose a primal-dual interior-point algorithm. Under certain conditions, the proposed algorithm possesses global convergence. The numerical results for OPF problems show that our algorithm is efficient.
引用
收藏
页码：184 / 187
页数：4
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