An ECT-PCA-based Fault Detection Method for Winding Asymmetry of Marine Current Turbine Generator

Author(s):  
Tao Xie ◽  
Tianzhen Wang
Author(s):  
Staffan Lundin ◽  
Ma˚rten Grabbe ◽  
Katarina Yuen ◽  
Mats Leijon

Marine currents are an offshore source of renewable energy of increasing importance, with the development of technology for electricity generation from tidal currents or low-head river currents advancing at a quick pace. Two of the major components of a marine current power plant are the generator and the turbine. It is not sufficient to design these components separately, but a system approach, where the power plant is seen as one entity, must be taken to achieve best overall efficiency. In the present paper, the performance of three different combinations of direct-driven permanent magnet generator with cross-stream axis marine current turbine is examined numerically under the variation of water flow speed. The design case chosen is that of a shallow river or tidal channel, where the cross-sectional area limits the physical size of the power plant. The units are designed for a power output of 10 kW at a water current velocity of 1 m/s. Turbines for three different rotational speeds are considered, each in combination with a corresponding generator. The three turbine-generator systems are designed according to similar design criteria to allow for comparisons. The turbines are modelled using an in-house code, based on the double multiple streamtube model. Corrections are made due to the finite aspect ratio and tip losses of the blades. Experimental data for the lift and drag coefficients for different Reynolds numbers are used in the model. The generators are modelled using a FEM tool that has been validated with experimental results. The three generators are designed for the same nominal voltage and with a low load angle to allow for overload operation. The overall performance of each of the three systems is studied under varying flow velocity. The main conclusion is that all three machines exhibit essentially the same performance behaviour, which means that the choice of nominal operational speed for a power plant will not be a major design constraint. Turbines with higher rotational speed allow for a more compact generator design within the limits of the design parameters used in this study. However, this also entails certain mechanical constraints on the turbine. Due to the restricted cross-sectional area in the channel, it is clear that at least one of the three systems would have to be placed with the axis of rotation in a horizontal rather than vertical position.


2020 ◽  
Vol 218 ◽  
pp. 108194 ◽  
Author(s):  
Tao Xie ◽  
Tianzhen Wang ◽  
Qianqian He ◽  
Demba Diallo ◽  
Christophe Claramunt

Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2117 ◽  
Author(s):  
Milu Zhang ◽  
Tianzhen Wang ◽  
Tianhao Tang ◽  
Zhuo Liu ◽  
Christophe Claramunt

Affected by high density, non-uniform, and unstructured seawater environment, fault detection of Marine Current Turbine (MCT) faces various fault features and strong interferences. To solve these problems, a harmonic analysis strategy based on zero-crossing estimation and Empirical Mode Decomposition (EMD) filter banks is proposed. First, the detection problems of rotor imbalance fault under strong interference conditions are described through an analysis of the fault mechanism and operation environment of MCT. Therefore, against various fault features, a zero-crossing estimation is proposed to calculate instantaneous frequency. Last, and in order to solve the problem that the frequency and amplitude of the operating parameters are partially or completely covered by interference, a band-pass filter based on EMD is used, together with a characteristic frequency selected by a Pearson correlation coefficient. This strategy can accurately detect the multiplicative faults under strong interference conditions, and can be applied to the MCT fault detection system. Theoretical and experimental results verify the effectiveness of the proposed strategy.


2019 ◽  
Vol 115 ◽  
pp. 269-280 ◽  
Author(s):  
Tianzhen Wang ◽  
Lei Liu ◽  
Jiahui Zhang ◽  
Emmanuel Schaeffer ◽  
Yide Wang

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