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
- 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/).
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 - 10.2991/iceesd-18.2018.23 ID - Li2018/05 ER -