Proceedings of the 2015 International Conference on Advanced Engineering Materials and Technology

Dynamic state based on autoregressive model for outgoing line of high voltage stations

Authors
Yanhong Wang, Tao Xin
Corresponding Author
Yanhong Wang
Available Online August 2015.
DOI
https://doi.org/10.2991/icaemt-15.2015.23How to use a DOI?
Keywords
autoregressive model. Voltage autoregressive models. power system states.
Abstract

Authors of papers to present a dynamic state prediction method based on an autoregressive model for outgoing Line of high voltage stations of power plants. When load is increased line autoregressive model at a constant power factor, it is proved in this paper that the bus voltages autoregressive models quadratic and the autoregressive model models for predicting the next voltage is based on three prior estimates. This logic is tested on the IEEE-50 bus system. The test results demonstrate that under morning load pick-up, , line opening, the proposed method is correct and gives valid predictions. Theoretical analysis and results show that the proposed method based on autoregressive models has great potential in predicting power system states.

Copyright
© 2015, 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 2015 International Conference on Advanced Engineering Materials and Technology
Series
Advances in Engineering Research
Publication Date
August 2015
ISBN
978-94-6252-108-7
ISSN
2352-5401
DOI
https://doi.org/10.2991/icaemt-15.2015.23How to use a DOI?
Copyright
© 2015, 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  - Yanhong Wang
AU  - Tao Xin
PY  - 2015/08
DA  - 2015/08
TI  - Dynamic state based on autoregressive model for outgoing line of high voltage stations
BT  - Proceedings of the 2015 International Conference on Advanced Engineering Materials and Technology
PB  - Atlantis Press
SP  - 112
EP  - 116
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaemt-15.2015.23
DO  - https://doi.org/10.2991/icaemt-15.2015.23
ID  - Wang2015/08
ER  -