| Issue |
E3S Web Conf.
Volume 185, 2020
2020 International Conference on Energy, Environment and Bioengineering (ICEEB 2020)
|
|
|---|---|---|
| Article Number | 01037 | |
| Number of page(s) | 4 | |
| Section | Energy Engineering and Power System | |
| DOI | https://doi.org/10.1051/e3sconf/202018501037 | |
| Published online | 01 September 2020 | |
The Application of Artificial Intelligence Technology in Smart Energy
1 State Gird Nanjing Power Supply Company, Nanjing, Jiangsu
, 210008, China
2 Department, China Electric Power Research Institute, Beijing, 100192, China
3 Department, China Electric Power Research Institute, Beijing, 100192, China
4 State Gird Nanjing Power Supply Company, Nanjing, Jiangsu
, 210008, China
* Corresponding author’s e-mail: 1920911787@qq.com
At present, the development of energy system tends to be clean and intelligent. China has upgraded the development of smart energy to national strategy. As the core link of energy system, power system is widely used, with strong regulation ability and complex control, especially with the increasing proportion of new energy and various forms of consumption. Now the power system presents the characteristics of complex nonlinearity, strong uncertainty and strong coupling. There are many limitations in traditional modeling, optimization and control technology, and artificial intelligence technology will be an effective measure to solve the control and decision-making problems of complex system. Firstly, this paper analyzes the application prospect of artificial intelligence technology in power system and the application of artificial intelligence technology in power grid operation. It establishes the prediction model of power grid operation mode, the model can help operators of power system quickly adjust the power flow to convergence state, and then greatly improve the calculation efficiency of power grid operation mode.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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