scholarly journals Reliability assessment of wind turbine generators by fuzzy universal generating function

2021 ◽  
Vol 23 (2) ◽  
pp. 308-314
Author(s):  
Tudi Huang ◽  
Tangfan Xiahou ◽  
Yan-Feng Li ◽  
Hua-Ming Qian ◽  
Yu Liu ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Generating Function ◽  
Fuzzy Numbers ◽  
Epistemic Uncertainty ◽  
Reliability Assessment ◽  
System Structure ◽  
Limited Data ◽  
Turbine Generators ◽  
Wind Turbine Generators ◽  
Universal Generating Function

Wind power has been widely used in the past decade because of its safety and cleanness. Double fed induction generator (DFIG), as one of the most popular wind turbine generators, suffers from degradation. Therefore, reliability assessment for this type of generator is of great significance. The DFIG can be characterized as a multi-state system (MSS) whose components have more than two states. However, due to the limited data and/or vague judgments from experts, it is difficult to obtain the accurate values of the states and thus it inevitably contains epistemic uncertainty. In this paper, the fuzzy universal generating function (FUGF) method is utilized to conduct the reliability assessment of the DFIG by describing the states using fuzzy numbers. First, the fuzzy states of the DFIG system’s components are defined and the entire system state is calculated based the system structure function. Second, all components’ states are determined as triangular fuzzy numbers (TFN) according to experts’ experiences. Finally, the reliability assessment of the DFIG based on the FUGF is conducted.

Bayesian Networks in Electric Reliability Assessment of Doubly-Fed Wind Turbine Generator

2014 ◽  
Vol 494-495 ◽  
pp. 1791-1794 ◽  
Author(s):  
Hai Ning Pan ◽  
Ming Qin ◽  
Jun Zhang ◽  
Chao Chang ◽  
Pan Lei
Keyword(s):  
Wind Turbine ◽  
Wind Turbines ◽  
Reliability Assessment ◽  
Turbine Generator ◽  
Turbine Generators ◽  
Wind Turbine Generators ◽  
Reliability Methods ◽  
Doubly Fed ◽  
Electrical Components ◽  
Large Wind

For the development of large wind turbines, the approach of trial and error is also not adequate for mass produced wind turbines, a reliability-concerned manufacturing must be involved for the future development. An approach which introduces probabilistic reliability assessment which incorporates reliability methods into wind turbine engineering is described. Fault Tree of wind turbine generators electrical components is firstly built. Then it is transformed to the Bayesian network and probabilistic distribution is preceded using Markov chain Monte Carlo inference. Finally a set of qualitative and quantitative reliability is given according to a specific probabilistic input.

scholarly journals Unit Commitment with Tunable Frequency Response from Wind Turbine Generators

2021 ◽  
Vol 645 ◽  
pp. 012025
Author(s):  
Juelin Liu ◽  
Juan Yu ◽  
Song Rui ◽  
Junkai Huang ◽  
Wang Xuebin ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Frequency Response ◽  
Unit Commitment ◽  
Turbine Generators ◽  
Wind Turbine Generators ◽  
Tunable Frequency
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