Solving state estimation in power systems by an interior point method

被引：12
|
作者：
Ramírez, JM [1 ]
Barocio, EE [1 ]
机构：
[1] CINVESTAV, IPN, Unidad Guadalajara, Guadalajara 45090, Jalisco, Mexico
来源：
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2000年 / 22卷 / 05期
关键词：
state estimation; linear programming; weighted absolute value; interior point methods;
D O I：
10.1016/S0142-0615(99)00066-6
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：
A linear programming formulation is employed to solve the static state estimation problem in power systems using the primal-dual predictor-corrector algorithm. This has been selected because it has emerged as an efficient algorithm that makes the direction search toward the optimal point easy. The technique was applied successfully into several power systems when simultaneous gross errors were considered. Results are presented showing that this algorithm exhibits a good performance under critical measurement errors. (C) 2000 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：355 / 365
页数：11
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