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

D-STATCOM Optimal Allocation Based On Investment Decision Theory

Authors
Yongjun Zhang, Yifu Mo, Huazhen Cao
Corresponding Author
Yongjun Zhang
Available Online September 2016.
DOI
https://doi.org/10.2991/iccia-16.2016.75How to use a DOI?
Keywords
D-STATCOM; Investment Decision Theory; Voltage Sags; Optimal Allocation.
Abstract
In order to avoid certain types of voltage sags, this paper proposed an optimal method to allocate D-STATCOM capacity, which is based on Investment Decision Theory and a 10kV distribution line equivalent model. In addition, the Investment Decision Theory was presented in this paper, in order to establish a D-STATCOM optimal allocation model with the investment payback period as main index. Some optimization suggestions were raised at the end of this paper, considering the historical data of voltage sags and low voltage release allocation. Finally, the effectiveness of the method is demonstrated by the simulation on a 10kV distribution feeder in Shenzhen, Guangdong Province, China.
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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-16.2016.75How 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  - Yongjun Zhang
AU  - Yifu Mo
AU  - Huazhen Cao
PY  - 2016/09
DA  - 2016/09
TI  - D-STATCOM Optimal Allocation Based On Investment Decision Theory
BT  - 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-16.2016.75
DO  - https://doi.org/10.2991/iccia-16.2016.75
ID  - Zhang2016/09
ER  -