Proceedings of the 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)

Research on Small Hydropower Group Output Characteristics of Multiple Time Scales

Authors
Xiankui Wen, Li Su, Chenghui Lin, Qiang Fan, Jiqun Tang, Cheng Mao
Corresponding Author
Xiankui Wen
Available Online September 2016.
DOI
https://doi.org/10.2991/iccia-16.2016.73How to use a DOI?
Keywords
Mountain area; Small hydropower group; Multi-time scale; Output characteristics.
Abstract
Most of the small hydropower has no power regulation capacity, which affects the operation of the power grid. By analyzing the average daily output characteristics of a single small hydropower station, it found its power curve quite different. The small hydropower in the similar geographical environment is classified as a cluster. Analysis of power generation characteristics of small hydropower station at different time scales, the output of small hydropower in each area has obvious characteristics of Wet-Dry, strong correlation of output, but with the expansion of the scope of the space gradually weakened. With the shortening of time scale, the output fluctuation of small hydropower stations in the adjacent time section is gradually reduced, so it provides reference for the analysis of small hydropower generation operation.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
Part of series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-240-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccia-16.2016.73How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiankui Wen
AU  - Li Su
AU  - Chenghui Lin
AU  - Qiang Fan
AU  - Jiqun Tang
AU  - Cheng Mao
PY  - 2016/09
DA  - 2016/09
TI  - Research on Small Hydropower Group Output Characteristics of Multiple Time Scales
BT  - 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
PB  - Atlantis Press
SP  - 400
EP  - 404
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-16.2016.73
DO  - https://doi.org/10.2991/iccia-16.2016.73
ID  - Wen2016/09
ER  -