Dynamic analysis of wind turbine yaw control with optimized electrical power capture

• Main Authors: Hsieh, Ting-Yen, 謝定諺
• Other Authors: Cheng, Stone
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/89934492576663206376

碩士 === 國立交通大學 === 機械工程系所 === 102 === The economic benefits of wind turbine system depend on efficiency of power generation. The generating capacity is proportional to the cube of wind speed, and the amount of wind energy directly impacted on the wind turbine is controlled by yaw system. This study based on megawatt wind turbine operation to design a wind turbine yaw control system to optimize energy capture. A neural network process predicted short-term wind speed/direction as a preliminary basis, and the yaw control system calculated energy captured by the blade and the power consumption of yaw rotation. The optimization of yaw angle control mechanism and a simultaneously mountain climbing algorithm to control the blade rotor system are applied to maintain the wind energy utilization at its best factor. A Labview HMI operation of real-time simulation of wind turbine dynamic verifies the effectiveness of yaw control and its stability of power optimization. In additions, the prediction methods based on feed-forward neural network from the Taipower’s meteorological data of wind turbine is described in this work.