Proceedings of the 2016 International Conference on Energy, Power and Electrical Engineering

Wind Power Forecasting Based on Extended Latin Hypercube Sampling

Authors
Xianbing Ding, Minfang Peng, Meie Shen, Liang Zhu, Hongwei Che, Sheng Zhou, Guangming Li, Rongsheng Liu
Corresponding Author
Xianbing Ding
Available Online October 2016.
DOI
https://doi.org/10.2991/epee-16.2016.13How to use a DOI?
Keywords
distributed generation; wind power forecast; Latin hypercube sampling
Abstract

With the rise of distributed generation, such as wind power and photovoltaic (PV), it is necessary to consider the effect of distributed generation's output randomness. Using the method of Latin hypercube sampling (LHS) can effectively fit output scenario. Considering the sampling number of conventional LHS (CLHS) must be fixed in advance, LHS(ELHS) can be Extended to predict wind power. The sample scenarios were extended exponentially on the basis of original scenarios by CLHS, taking the relative error of the output variation before and after the extension as the convergence criterion of ELHS. Numerical example results show the feasibility and accuracy of the proposed algorithm.

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 International Conference on Energy, Power and Electrical Engineering
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
10.2991/epee-16.2016.13
ISSN
2352-5401
DOI
https://doi.org/10.2991/epee-16.2016.13How 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  - Xianbing Ding
AU  - Minfang Peng
AU  - Meie Shen
AU  - Liang Zhu
AU  - Hongwei Che
AU  - Sheng Zhou
AU  - Guangming Li
AU  - Rongsheng Liu
PY  - 2016/10
DA  - 2016/10
TI  - Wind Power Forecasting Based on Extended Latin Hypercube Sampling
BT  - Proceedings of the 2016 International Conference on Energy, Power and Electrical Engineering
PB  - Atlantis Press
SP  - 57
EP  - 60
SN  - 2352-5401
UR  - https://doi.org/10.2991/epee-16.2016.13
DO  - https://doi.org/10.2991/epee-16.2016.13
ID  - Ding2016/10
ER  -