Merging conventional and phasor measurements in state estimation: a multi-criteria perspective

被引：0

作者：

Tavares, Bruna ^{[1
]}

Freitas, Victor ^{[2
]}

Miranda, Vladimiro ^{[3
,4
]}

Costa, Antonio Simoes ^{[2
]}

机构：

[1] INESC TEC, Porto, Portugal

[2] Univ Fed Santa Catarina, Florianopolis, SC, Brazil

[3] Univ Porto, INESC TEC, Porto, Portugal

[4] Univ Porto, FEUP, Porto, Portugal

来源：

2017 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM APPLICATION TO POWER SYSTEMS (ISAP) | 2017年

关键词：

state estimation; multiple-criteria; information fusion; correntropy; ESTIMATION FUSION;

D O I：

暂无

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：

This paper presents a new proposal for sensor fusion in power system state estimation, analyzing the case of data sets composed of conventional measurements and phasor measurements from PMUs. The approach is based on multiple criteria decision-making concepts. The equivalence of an L-1 metric in the attribute space to the results from a Bar-Shalom-Campo fusion model is established. The paper shows that the new fusion proposal allows understanding the consequences of attributing different levels of confidence or trust to both systems. A case study provides insight into the new model.

引用

页数：6

共 16 条

[1]

Abur A., 2004, POWER SYSTEM STATE E

[2]

[Anonymous], 2007, MULTISENSOR DATA FUS

[3]

[Anonymous], STATE ESTIMATION ELE

[4] THE EFFECT OF THE COMMON PROCESS NOISE ON THE 2-SENSOR FUSED-TRACK COVARIANCE [J].