Issue |
E3S Web Conf.
Volume 79, 2019
International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2018)
|
|
---|---|---|
Article Number | 03017 | |
Number of page(s) | 3 | |
Section | Study on Energy Sources and Ecological Environment Engineering | |
DOI | https://doi.org/10.1051/e3sconf/20197903017 | |
Published online | 15 January 2019 |
Analysis of Output Characteristics of Typical Distributed Wind Power
1
China Electric Power Research Institute, Beijing, China
2
Beijing Key Laboratory of Demand Side Integrated Energy Optimization and Interaction Technology, Beijing, China
3
School of Economics and Management, North China Electric Power University, Beijing 102206, China
* Corresponding author: 1090962561@qq.com
With the development of smart power distribution technology in the future, a large range of power supply load (such as distributed wind power generation) will appear on the power receiving end. When distributed wind power is connected to the power grid on a large scale, it will have a certain impact on the safe and stable operation of the power grid. However, if the wind power output characteristics can be analyzed and the wind power output is properly regulated, the one-way flow of power from the distribution network to the user side will be broken, so that the future "network-load" has dual interaction characteristics based on response and substantial power exchange.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (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.