Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

Research on the Optimal Selection for Dams Construction Sites Based on the Power Flow Calculation

Authors
Guangjin Shen
Corresponding Author
Guangjin Shen
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.299How to use a DOI?
Keywords
The Kariba Dam, Power Flow Calculation, Optimal Selection, Multivariate Analysis
Abstract

In this paper, the location optimization scheme based on stepwise screening method is put forward to assist the Zambezi River management. Firstly, we evaluate three options based on multivariate analysis and find that the third option is the most appropriate one. Then we analyze with improved Analytic Hierarchy Process to filter out a series of unsuitable dams' construction sites. And we use power flow calculation in electric system to solve the dams' security and water supply problem. The method is further improved in providing the guidance for extreme water flows. It is shown that our model has important practice guiding significance in managing the Zambezi River.

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 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/icmmct-17.2017.299
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.299How 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  - Guangjin Shen
PY  - 2017/04
DA  - 2017/04
TI  - Research on the Optimal Selection for Dams Construction Sites Based on the Power Flow Calculation
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1589
EP  - 1595
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.299
DO  - 10.2991/icmmct-17.2017.299
ID  - Shen2017/04
ER  -