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Open AccessArticle

Research on the Fault Characteristic of Wind Turbine Generator System Considering the Spatiotemporal Distribution of the Actual Wind Speed

School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China
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Energies 2020, 13(2), 356; https://doi.org/10.3390/en13020356
Received: 29 October 2019 / Revised: 5 January 2020 / Accepted: 7 January 2020 / Published: 10 January 2020
(This article belongs to the Special Issue Maintenance Management of Wind Turbines)
A reliable fault monitoring system is one of the conditions that must be considered in the design of large wind farms today. The most important factor for the fault monitoring should be the accurate diagnosis criteria with sensitive fault characteristics. Most of the current fault diagnosis criteria are obtained based on the average wind speed at the center of the hub which is not in accord with the actual wind condition in nature. So, this paper utilizes an equivalent wind speed (EWS), which can describe the actual wind speed spatiotemporal distribution on the rotor disk area considering the effects of wind shear and tower shadow, to analyze the common mechanical and electrical faults again. Firstly, the EWS model applicable to the 3-blade wind turbines is introduced; then the new fault characteristics of the wind turbine rotor aerodynamic imbalance and the stator winding asymmetry are theoretically analyzed based on the EWS model; finally, the simulation platform is built in Matlab/Simulink for comparison and the simulation result is well consistent with the theory analysis. The aim of this research is to find more accurate fault characteristics and help promoting the healthy development of wind power industry. View Full-Text
Keywords: wind turbines; equivalent wind speed; rotor aerodynamic imbalance; stator winding asymmetry; fault characteristics wind turbines; equivalent wind speed; rotor aerodynamic imbalance; stator winding asymmetry; fault characteristics
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MDPI and ACS Style

Sheng, X.; Wan, S.; Cheng, K.; Wang, X. Research on the Fault Characteristic of Wind Turbine Generator System Considering the Spatiotemporal Distribution of the Actual Wind Speed. Energies 2020, 13, 356.

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