Identification of Network Parameter and Measurement Errors based on a Mixed Integer Quadratic Programming Model

被引：0

作者：

Hou, Fangdi ^{[1
]}

Guo, Ruipeng ^{[1
]}

Yu, Xiuyue ^{[2
]}

Wang, Liangyuan ^{[2
]}

机构：

[1] Zhejiang Univ, Coll Elect Engn, Hangzhou, Zhejiang, Peoples R China

[2] State Grids Fujian Elect Power Co, Operat Dept, Fuzhou, Peoples R China

来源：

2016 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT) | 2016年

关键词：

Mixed integer quadratic programming; Measurement errors; Parameter errors; Parameter identification; State estimation;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper investigates identification of parameter and measurement errors in the power network model. A mixed integer quadratic programming (MIQP) model is proposed in this paper to precisely identify multiple parameter and measurement errors. In the proposed MIQP model, erroneous parameters and measurements are involved with penalty factor in the aim of minimizing weighted least-squares (WLS) objective function. The proposed method has the desired property of accurate identification with avoiding over identification in the meantime. Parameter and measurement errors can also be distinguished simultaneously in MIQP model. All these features are verified via simulations that are carried out on IEEE 14-bus system.

引用

页数：5

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