Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

Weight Set Of State Estimation Based on Partition

Authors
Jiayi Zang
Corresponding Author
Jiayi Zang
Available Online March 2013.
DOI
10.2991/iccsee.2013.5How to use a DOI?
Keywords
component, State Estimation, Multiple Bad Data, Partition, Weight Set
Abstract

In power system state estimation, bad data of local area can make state estimation difficult, and accuracy of measurement can also have great influence on the result of state estimation. Based on grid partition, this paper forms a lot of independent sub area, then measurement weights are adjusted using the state estimation result of sub area. This overcomes the defects of uniform weights distribution, and improves the accuracy of state estimation

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
10.2991/iccsee.2013.5
ISSN
1951-6851
DOI
10.2991/iccsee.2013.5How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jiayi Zang
PY  - 2013/03
DA  - 2013/03
TI  - Weight Set Of State Estimation Based on Partition
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 17
EP  - 19
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.5
DO  - 10.2991/iccsee.2013.5
ID  - Zang2013/03
ER  -