Optimised yaw model for adaptive wind direction characteristic based on a data‐driven approach-Reference-Cited by-同舟云学术

Optimised yaw model for adaptive wind direction characteristic based on a data‐driven approach

Author:

Dong Xinghui¹,Wang Yizhou¹,Wang Hui¹,Kong Lingxing²

Affiliation:

1. School of Energy Power and Mechanical Engineering North China Electric Power University Beijing P.R. China

2. State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing P.R. China

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

Reference42 articles.

1. Research of the megawatt level variable speed constant frequency wind power unit control system;Guo J.D.;Proc. CSEE,2007

2. Modeling and control strategies of directly driven wind turbine with permanent magnet synchronous generator;Yin M.;Power Syst. Technol.,2007

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2. Non-Linear Autoregressive Neural Network Based Wind Direction Prediction for the Wind Turbine Yaw System;2023 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM);2023-05-15