Proceedings of the 2016 5th International Conference on Energy and Environmental Protection (ICEEP 2016)

Probabilistic model of Wind Power Ramp Events Based On Moving Ratio Analysis

Authors
Sanming Liu, Zhijie Wang
Corresponding Author
Sanming Liu
Available Online November 2016.
DOI
10.2991/iceep-16.2016.21How to use a DOI?
Keywords
wind power ramp; three-parameter Weibull distribution; ramp distribution; probabilistic analysis.
Abstract

Description of probability distribution characteristics of wind power ramp events is always a challenge in grid-connected wind power operation analysis. In this paper, a moving ratio based approach of wind power ramp events is introduced and an probability model is described for the wind ramp events. The proposed model is useful to estimate the relationship between power ramp events and the variability of the wind power. The proposed model is able to satisfactorily approximate the actual distribution of wind power ramp events . It is shown that the linear difference based ramp dis- tribution can be calculated using the proposed moving ratio based approach. The proposed model can be an effective tool in planning for wind power ramp control.

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 2016 5th International Conference on Energy and Environmental Protection (ICEEP 2016)
Series
Advances in Engineering Research
Publication Date
November 2016
ISBN
10.2991/iceep-16.2016.21
ISSN
2352-5401
DOI
10.2991/iceep-16.2016.21How 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  - Sanming Liu
AU  - Zhijie Wang
PY  - 2016/11
DA  - 2016/11
TI  - Probabilistic model of Wind Power Ramp Events Based On Moving Ratio Analysis
BT  - Proceedings of the 2016 5th International Conference on Energy and Environmental Protection (ICEEP 2016)
PB  - Atlantis Press
SP  - 126
EP  - 133
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-16.2016.21
DO  - 10.2991/iceep-16.2016.21
ID  - Liu2016/11
ER  -