标题:Predictive control of wind power ramping based on wind turbine load optimization
作者:Liu, Weipeng ;Cui, Yang ;Liu, Yutian
作者机构:[Liu, Weipeng ;Cui, Yang ;Liu, Yutian ] Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, 更多
会议名称:International Conference on Renewable Power Generation, RPG 2015
会议日期:17 October 2015 through 18 October 2015
来源:IET Conference Publications
出版年:2015
卷:2015
期:CP679
关键词:Blade element momentum; Pitch control; Predictive control; Wind turbine load
摘要:A predictive control strategy considering ramping rate and power deviation is proposed, which is based on wind turbine load optimization. The wind turbine load model is established according to blade element momentum (BEM) theory, and the influence factors of wind turbine load are analysed based on this model. The control strategy is divided into 3 modules. The prediction module is based on ultra-short-term neural network wind speed prediction. The online optimization model is established with the objectives of minimizing the ramping rate, wind turbine load and power deviation. The feedback module compensates the deviation of optimal control under practical operation conditions. Simulation results show that the proposed strategy can improve the security and economy of wind turbines when dealing with ramping events.
收录类别:EI;SCOPUS
Scopus被引频次:1
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962747072&partnerID=40&md5=2758101c09eb61b586f8b2daaf34feed
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