Issue |
E3S Web Conf.
Volume 352, 2022
7th International Conference on Energy Science and Applied Technology (ESAT 2022)
|
|
---|---|---|
Article Number | 03009 | |
Number of page(s) | 7 | |
Section | Energy Sustainability & Energy-Related Environmental Science | |
DOI | https://doi.org/10.1051/e3sconf/202235203009 | |
Published online | 27 June 2022 |
Diversified and high elastic power grid planning method based on two-stage stochastic optimization
1 Huzhou Power Supply Company of SGCC, Huzhou 313000, China
2 School of electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
* Corresponding author: wanghanyun0204@sgcc.com.cn
With the rapid development of distributed power generation, the study of multi-integrated and highly flexible grid planning methods has become a research hotspot. In multi-resource planning, the planning scheme that considers the active management mode is obviously better than the planning scheme that does not consider the active management mode. In this paper, a diversified and high elastic power grid planning method based on stochastic optimization is proposed, which can effectively deal with the impact of uncertainty caused by the access of distributed generation to the power grid, and provide a method support for the cleaning and efficiency of power system in the future. The IEEE 18 system example proves the feasibility and effectiveness of the proposed method.
Key words: Distributed power / diversified and high elastic power grid / comprehensive evaluation
© The Authors, published by EDP Sciences, 2022
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.