ANN Based Pitch Angle Controller For Variable Speed Variable Pitch Wind Turbine Generation System

摘要：

In this paper, an artificial neural network (ANN) pitch control strategy based on Auto-Regression Moving Average (ARMA) wind speed prediction model for the output power control of wind turbine double fed induction Generator system (WTDFIGS) is presented. The wind speed of the next control step is predicted by use of the ARMA model. This predicted wind speed is utilized in calculation of the pitch angle control value. In the suggested pitch angle controller, ANN is used to identify the inverse relation of the highly nonlinear DFIG system. The proposed control scheme is applied to a WTDFIG system connected to a simple power system. Excessive simulation results and comparison with a conventional controller show the effectiveness of the suggested control method.

关键词： ANN ARMA WTDFIG system wind speed prediction pitch control

作者: Wang Jialong Hyun Seung Ho

作者单位: School of EE,University of Ulsan Ulsan,Korea

会议类型: 国际会议

会议名称: The 6th International Forum on Strategic Technology(IFOST 2011)(第六届国际战略技术论坛)

会议地点: 哈尔滨

会议语种:英文

页码: 443-447

在线出版日期: 2011-08-22（万方平台首次上网日期，不代表论文的发表时间）