Component-level Reliability Assessment of a Direct-drive PMSG Wind Power Converter Considering Two Terms of Thermal Cycles and the Parameter Sensitivity Analysis

2021 ◽  
pp. 1-1
Author(s):  
Shuaichen Ye ◽  
Dao Zhou ◽  
Xiaoxian Yao ◽  
Frede GE Blaabjerg
Keyword(s):  
Sensitivity Analysis ◽  
Wind Power ◽  
Reliability Assessment ◽  
Power Converter ◽  
Parameter Sensitivity ◽  
Direct Drive ◽  
Parameter Sensitivity Analysis ◽  
Thermal Cycles ◽  
Component Level

Parameter Sensitivity Analysis of a Large-Scale System With Several Components Interacting in Series

1989 ◽  
Author(s):  
H. Torab
Keyword(s):  
Sensitivity Analysis ◽  
Large Scale ◽  
Optimization Problems ◽  
Parameter Sensitivity ◽  
Engineering Optimization ◽  
Parameter Sensitivity Analysis ◽  
Large Scale Systems ◽  
In Series ◽  
Special Case ◽  
Engineering Optimization Problems

Abstract Parameter sensitivity for large-scale systems that include several components which interface in series is presented. Large-scale systems can be divided into components or sub-systems to avoid excessive calculations in determining their optimum design. Model Coordination Method of Decomposition (MCMD) is one of the most commonly used methods to solve large-scale engineering optimization problems. In the Model Coordination Method of Decomposition, the vector of coordinating variables can be partitioned into two sub-vectors for systems with several components interacting in series. The first sub-vector consists of those variables that are common among all or most of the elements. The other sub-vector consists of those variables that are common between only two components that are in series. This study focuses on a parameter sensitivity analysis for this special case using MCMD.

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