Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

Analysis on the Effects of the Improved Power Forecast System of Zhong San Jia Wind Power Plant in Liaoning Province of China

Authors
Chao Zhang
Corresponding Author
Chao Zhang
Available Online April 2016.
DOI
10.2991/ameii-16.2016.48How to use a DOI?
Keywords
power forecast, relative error, the year of 2013.
Abstract

This article introduces the error comparison of the improved wind power forecast system which changes the data input and re-models and the original one, which was done in Liaoning Zhong San Jia Wind Power Plant. Throughout one year's contrast analysis in 2003, it is found that the accuracy rate has increased by 6 per cent in the strong wind months, about 1.5 per cent in the weak wind months, and 4 per cent in the whole year. All the data shows that the improved system is excellent.

Copyright
© 2016, 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 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/ameii-16.2016.48
ISSN
2352-5401
DOI
10.2991/ameii-16.2016.48How to use a DOI?
Copyright
© 2016, 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  - Chao Zhang
PY  - 2016/04
DA  - 2016/04
TI  - Analysis on the Effects of the Improved Power Forecast System of Zhong San Jia Wind Power Plant in Liaoning Province of China
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 234
EP  - 241
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.48
DO  - 10.2991/ameii-16.2016.48
ID  - Zhang2016/04
ER  -