Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

Different Terms Fluctuations of Solar Power System

Authors
Yindong Liu, Changchun Hu, Miao Miao, Fei Peng
Corresponding Author
Yindong Liu
Available Online January 2017.
DOI
10.2991/icmmita-16.2016.238How to use a DOI?
Keywords
Solar Power System; Generation Fluctuations; Different Terms; Fluctuation Level; Random Distribution
Abstract

The generation of solar power are known to be seriously influenced by many factors, such as temperature, humidity, et al. These factors cause the fluctuations of solar power system. This paper considers those fluctuations of different terms by using actual historical data and the different distribution method. From the analysis and simulations, we find the fluctuation data for different terms can fit different kinds of distribution functions, such Gaussian distribution, T Location-scale, Histogram distribution, and Logistic distribution. Finally, the simulation shows the method is effective and efficient.

Copyright
© 2017, 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 4th International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
January 2017
ISBN
10.2991/icmmita-16.2016.238
ISSN
2352-538X
DOI
10.2991/icmmita-16.2016.238How to use a DOI?
Copyright
© 2017, 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  - Yindong Liu
AU  - Changchun Hu
AU  - Miao Miao
AU  - Fei Peng
PY  - 2017/01
DA  - 2017/01
TI  - Different Terms Fluctuations of Solar Power System
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.238
DO  - 10.2991/icmmita-16.2016.238
ID  - Liu2017/01
ER  -