Issue |
E3S Web Conf.
Volume 107, 2019
2019 4th International Conference on Sustainable and Renewable Energy Engineering (ICSREE 2019)
|
|
---|---|---|
Article Number | 02008 | |
Number of page(s) | 6 | |
Section | Power Electronic System | |
DOI | https://doi.org/10.1051/e3sconf/201910702008 | |
Published online | 05 July 2019 |
Simulation of large-scale energy storage to improve high-voltage DC stability
NARI Group Corporation, NARI Research Institute, 211106 Nanjing, China
* Corresponding author: heguoxin@sgepri.sgcc.com.cn
Study on large-scale electrochemical energy storage simulation is carried out in this paper to discuss its feasibility in enhancing the stability of HVDC power transmission, thus providing a reference for large-scale energy storage planning and design in the background of global energy internet. The paper introduces the development status quo of the large-scale energy storage technology, and provides an analysis of the active and inactive power features after HVDC commutation failure by establishing a large-scale energy storage model and a HVDC power transmission system commutation failure model, thereby exploring the configuration feasibility of the large-scale energy storage technology; Then, a simulation analysis is given on the effect of large-scale energy storage on HVDC power transmission fault features; Finally, a prospect was expected towards the application tendency of large-scale energy storage in global energy internet.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/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.