Proceedings of the 2016 International Conference on Electrical, Mechanical and Industrial Engineering

Analysis of Bus Power Balance Based on Mathematical Statistics

Authors
Fujun Bao, Miao Wang, Qiang Li, Lei Wang, Yansheng Lang
Corresponding Author
Fujun Bao
Available Online April 2016.
DOI
10.2991/icemie-16.2016.12How to use a DOI?
Keywords
power balance; normal distribution; basic data; historical data; sample median; confidence interval
Abstract

The bus power balance is an important index to quantify the power system basic data. In view of the current shortage of power imbalance evaluation at single time section, in this paper, imbalanced power is regarded as a normal distributed random variable and the its historical data is statistically analyzed. This method takes the sample median as the estimate of the population mean, confidence interval of sample standard deviation as the interval estimation of population standard deviation, reflecting the distribution of bus imbalanced power. An example on actual stations is given in this paper, the power system basic data are quantified from the perspective of statistics.

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 Electrical, Mechanical and Industrial Engineering
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
978-94-6252-182-7
ISSN
2352-5401
DOI
10.2991/icemie-16.2016.12How 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  - Fujun Bao
AU  - Miao Wang
AU  - Qiang Li
AU  - Lei Wang
AU  - Yansheng Lang
PY  - 2016/04
DA  - 2016/04
TI  - Analysis of Bus Power Balance Based on Mathematical Statistics
BT  - Proceedings of the 2016 International Conference on Electrical, Mechanical and Industrial Engineering
PB  - Atlantis Press
SP  - 47
EP  - 50
SN  - 2352-5401
UR  - https://doi.org/10.2991/icemie-16.2016.12
DO  - 10.2991/icemie-16.2016.12
ID  - Bao2016/04
ER  -