Proceedings of the 2018 7th International Conference on Energy, Environment and Sustainable Development (ICEESD 2018)

The risk analysis of reservoir operation based on uncertain theory

Authors
Kefei Li, Zhengmao Jia, Liyuan He, Baojian Hou
Corresponding Author
Kefei Li
Available Online May 2018.
DOI
https://doi.org/10.2991/iceesd-18.2018.23How to use a DOI?
Keywords
uncertain theory; chance-constrained; genetic algorithm (GA); hybrid intelligent algorithm; the Three Gorges
Abstract

Uncertain theory is a new tool to quantitatively study the risk analysis under the uncertain condition. Based on uncertain theory and combined with actual characteristics of reservoir operation, the risk analysis model of reservoir operation was established and a hybrid intelligent algorithm coupling uncertainty simulation technology and genetic algorithm was designed. Through the application of the Three Gorges, the results showed that the model can provide some technical support for the dispatchers to optimize the decision-making considering the risk situations.

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 7th International Conference on Energy, Environment and Sustainable Development (ICEESD 2018)
Series
Advances in Engineering Research
Publication Date
May 2018
ISBN
978-94-6252-503-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/iceesd-18.2018.23How 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

TY  - CONF
AU  - Kefei Li
AU  - Zhengmao Jia
AU  - Liyuan He
AU  - Baojian Hou
PY  - 2018/05
DA  - 2018/05
TI  - The risk analysis of reservoir operation based on uncertain theory
BT  - Proceedings of the 2018 7th International Conference on Energy, Environment and Sustainable Development (ICEESD 2018)
PB  - Atlantis Press
SP  - 142
EP  - 147
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceesd-18.2018.23
DO  - https://doi.org/10.2991/iceesd-18.2018.23
ID  - Li2018/05
ER  -