Maximum Wind Energy Extraction for Variable Speed Wind Turbines With Slow Dynamic Behavior

2017 ◽  
Vol 32 (4) ◽  
pp. 3321-3322 ◽  
Author(s):  
Zaiyu Chen ◽  
Minghui Yin ◽  
Yun Zou ◽  
Ke Meng ◽  
ZhaoYang Dong
2020 ◽  
Vol 206 ◽  
pp. 112496 ◽  
Author(s):  
Dongran Song ◽  
Yinggang Yang ◽  
Songyue Zheng ◽  
Xiaofei Deng ◽  
Jian Yang ◽  
...  

2021 ◽  
Vol 54 (5) ◽  
pp. 661-670
Author(s):  
Ahmed Aissaoui ◽  
Houari Khouidmi ◽  
Ahmed Benzouaoui ◽  
Boubaker Bessedik

Generally, wind turbines are controlled by Maximum Power Point Tracking (MPPT) strategies in order to achieve maximum power extraction below its rated value. But it is very difficult to adjust the rotor speed according to the highly fluctuating wind speed accurately and quickly, due to the large inertia of wind turbines, and therefore, the efficiency of wind energy extraction will never reach its theoretical maximum value. To address this problem, a new method has been developed in this paper which is totally different from the known classical methods. In this paper a wind speeds prediction for maximum wind energy extraction (MWEE) of variable-speed wind turbines (VSWTs) is presented. A nonlinear predictive control is developed by solving a nonlinear optimization problem to generate the optimal generator torque sequence and consequently the previewed rotor speeds with maximum wind energy extraction. A detailed explanation has been provided of how this new method works through a detailed block diagram; accurate algorithm and flowchart. The proposed nonlinear predictive method takes full advantage and the MWEE objective is confirmed by the simulation results compared to the classical TSR methods.


Author(s):  
Manasi Pattnaik

In recent years, wind energy has become one of the most important and promising sources of renewable energy, which demands additional transmission capacity and better means of maintaining system reliability. The evolution of technology related to wind systems industry leaded to the development of a generation of variable speed wind turbines that present many advantages compared to the fixed speed wind turbines. For example, grid codes are being revised to ensure that wind turbines would contribute to the control of voltage and frequency and also to stay connected to the host network following a disturbance. In response to the new grid code requirements, several DFIG models have been suggested recently. This paper deals with the introduction of DFIG and AC/DC/AC converter control


1999 ◽  
Vol 14 (4) ◽  
pp. 1617-1623 ◽  
Author(s):  
S.A. Papathanassiou ◽  
M.P. Papadopoulos

2011 ◽  
Vol 311-313 ◽  
pp. 2393-2396 ◽  
Author(s):  
Wei Na Wang ◽  
Ru Mei Li ◽  
Yong Duan Song ◽  
Yong Sheng Hu ◽  
Xub Kui Zhang

The uncertain and random characteristics of wind energy make the problem of wind turbine control interesting and challenging. This work investigates an adaptive method for variable speed control of wind turbines under varying operation conditions. For fixed-speed operation of wind turbines, maximum power conversion can be achieved only at a particular wind speed, thus variable speed control of wind turbines is of practical interest in enhancing wind turbine operating efficiency over wide wind speeds. Based on the nonlinear dynamic model of wind turbine, adaptive algorithms are developed in accommodating unknown system parameter uncertainties. This method is shown to be able to achieve smooth and effective tracking of rotor angular speed to capture maximum wind energy. The effectiveness and adaptation of the proposed approach is validated via numerical simulation.


2018 ◽  
Vol 221 ◽  
pp. 508-521 ◽  
Author(s):  
Minghui Yin ◽  
Zhiqiang Yang ◽  
Yan Xu ◽  
Jiankun Liu ◽  
Lianjun Zhou ◽  
...  

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