MATEC Web Conf.
Volume 175, 20182018 International Forum on Construction, Aviation and Environmental Engineering-Internet of Things (IFCAE-IOT 2018)
|Number of page(s)||5|
|Section||Computer Simulation and Design|
|Published online||02 July 2018|
Research on the design of power generation system for 50MV wind farm
Kunming University of Science and Technology Oxbridge College Kunming, China
2 Diqing Grid Bureau, Yunnan Grid Corporation Limited, Diqing StateDiqing, China
3 School of Electrical and Information TechnologyYunnan Minzu University Kunming, China
Corresponding author e-mail: email@example.com
With the rapid development of the global economy, wind power generation has attracted wide attention all over the world. With the rapid development of all kinds of new energy in the world, wind power generation has a huge international market and broad prospects for development. Based on the actual situation of the local wind power generation project in a city, this paper analyses the feasibility of the wind power generation system in the local area. According to the type selection and arrangement of various types of wind motors, a reasonable electrical wiring part is designed. The research shows that wind power is of high comprehensive value. Wind power plants can be built in areas with suitable geographical conditions and sufficient wind energy. After the completion of the above power generation projects, the advantage of local wind energy resources will be fundamentally changed into economic advantage.
© The Authors, published by EDP Sciences 2018
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.