Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering

Selecting Weights for Different Type Measurements in WLS State Estimation

Authors
Yubin Yao, Zhiliang Wu, Dan Wang
Corresponding Author
Yubin Yao
Available Online November 2014.
DOI
10.2991/meic-14.2014.288How to use a DOI?
Keywords
State estimation; weighted least squares estimation; measurement type; coordination factor; accuracy index
Abstract

Power system state estimation provides accurate and complete data for several online advanced application software in energy management systems. Its main consideration is how to acquire accurate data. State estimation are usually solved by weighted least squares estimation, and selecting a reasonable weight for every measurement is the most important means to achieve a good estimation. Traditionally variance of measurement is selected as its weight. But measurements of different type have different effect on the accuracy of state estimation even if they have same error. Selection of weights must take the measurement type into account, so a method of selecting weights for measurements of different type is presented. Firstly accuracy index of state estimation is defined as the sum of the squares of errors of every measurement; then accuracy index of state estimation for every measurement is calculated by perturbation method; finally mean accuracy index of state estimation of measurements of each type is calculated and used to design a coordination factor to adjust weights for measurements of different type. IEEE30 network is analyzed by the proposed method, and the results prove the effectiveness of the proposed method.

Copyright
© 2014, 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/).

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Volume Title
Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
Series
Advances in Engineering Research
Publication Date
November 2014
ISBN
978-94-62520-42-4
ISSN
2352-5401
DOI
10.2991/meic-14.2014.288How to use a DOI?
Copyright
© 2014, 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  - Yubin Yao
AU  - Zhiliang Wu
AU  - Dan Wang
PY  - 2014/11
DA  - 2014/11
TI  - Selecting Weights for Different Type Measurements in WLS State Estimation
BT  - Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 1281
EP  - 1284
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-14.2014.288
DO  - 10.2991/meic-14.2014.288
ID  - Yao2014/11
ER  -