Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018)

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Correlation Analysis of Photovoltaic Power with the Field Data of Xinjiang Korla Photovoltaic Power Plants

Authors
Kewen Yang
Corresponding Author
Kewen Yang
Available Online November 2018.
DOI
10.2991/cimns-18.2018.30How to use a DOI?
Keywords
photovoltaic power station; autocorrelation; cross-correlation; time delay
Abstract

Mastering the characteristics of photovoltaic power generation helps reduce the output limit of photovoltaic power generation and improve the absorption ability of photovoltaic power generation. Based on the measured data from photovoltaic power stations, the sunrise force-related characteristics of a photovoltaic power station are analyzed. Specifically, first, the correlation coefficient and the sunrise force characteristics of a photovoltaic power station are introduced. Second, the output data and time–space characteristics of two photovoltaic power stations are provided. Furthermore, based on the above actual data, the influence of weather and time on different time autocorrelation characteristics of a photovoltaic power station is analyzed. Based on the spatiotemporal characteristics of a photovoltaic power station, the correlation between time and space characteristics and photovoltaic power generation data of different substations is analyzed. Our study is conducive to further understanding the characteristics of photovoltaic power station data.

Copyright
© 2018, 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 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018)
Series
Advances in Computer Science Research
Publication Date
November 2018
ISBN
10.2991/cimns-18.2018.30
ISSN
2352-538X
DOI
10.2991/cimns-18.2018.30How to use a DOI?
Copyright
© 2018, 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

risenwbib
TY  - CONF
AU  - Kewen Yang
PY  - 2018/11
DA  - 2018/11
TI  - Correlation Analysis of Photovoltaic Power with the Field Data of Xinjiang Korla Photovoltaic Power Plants
BT  - Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018)
PB  - Atlantis Press
SP  - 133
EP  - 137
SN  - 2352-538X
UR  - https://doi.org/10.2991/cimns-18.2018.30
DO  - 10.2991/cimns-18.2018.30
ID  - Yang2018/11
ER  -