Dynamic Behaviour and Modelling of Variable-Speed Wind Turbines

被引：0
|
作者：
Himker, Niklas [1 ]
Waechter, Matthias [2 ]
Peinke, Joachim [2 ]
Mertens, Axel [1 ]
机构：
[1] Leibniz Univ Hannover, Inst Drive Syst & Power Elect, Hannover, Germany
[2] Carl von Ossietzky Univ Oldenburg, Inst Phys & ForWind, Oldenburg, Germany
来源：
2020 IEEE 11TH INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS FOR DISTRIBUTED GENERATION SYSTEMS (PEDG) | 2020年
关键词：
probability distribution; wind energy; Maximum Power Point Tracking;
D O I：
10.1109/pedg48541.2020.9244393
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper investigates the stochastic and dynamic changes of wind turbine output power over time at different operating points. In particular, the probability distribution for a theoretical Maximum Power Point Tracking (MPPT) and a state-of-the-art MPPT are compared. These studies can help to evaluate the stability of future grids with a high proportion of wind energy. Furthermore, a reduced model is presented, allowing a time-efficient investigation of the observed phenomena.
引用
收藏
页码：441 / 446
页数：6
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