scholarly journals Analysis and design of a DC voltage-controlled static VAr compensator using quad-series voltage-source inverters

1996 ◽  
Vol 32 (4) ◽  
pp. 970-978 ◽  
Author(s):  
H. Fujita ◽  
S. Tominaga ◽  
H. Akagi
Keyword(s):  
Voltage Source ◽  
Static Var Compensator ◽  
Dc Voltage ◽  
Voltage Source Inverters ◽  
Analysis And Design

scholarly journals Modeling, Analysis, and Design of Stationary-Reference-Frame Droop-Controlled Parallel Three-Phase Voltage Source Inverters

2013 ◽  
Vol 60 (4) ◽  
pp. 1271-1280 ◽  
Author(s):  
Juan C. Vasquez ◽  
Josep M. Guerrero ◽  
Mehdi Savaghebi ◽  
Joaquin Eloy-Garcia ◽  
Remus Teodorescu
Keyword(s):  
Reference Frame ◽  
Voltage Source ◽  
Phase Voltage ◽  
Voltage Source Inverters ◽  
Analysis And Design ◽  
Modeling Analysis ◽  
Three Phase ◽  
Stationary Reference Frame

Analysis and Design Optimization of Diode Front-End Rectifier Passive Components for Voltage Source Inverters

2008 ◽  
Vol 23 (5) ◽  
pp. 2278-2289 ◽  
Author(s):  
Fei Wang ◽  
Gang Chen ◽  
D. Boroyevich ◽  
S. Ragon ◽  
M. Arpilliere ◽  
...  
Keyword(s):  
Design Optimization ◽  
Voltage Source ◽  
Passive Components ◽  
Voltage Source Inverters ◽  
Analysis And Design ◽  
Front End

A Computer-Aided Analysis and Design Approach for Static Voltage Source Inverters

1985 ◽  
Vol IA-21 (5) ◽  
pp. 1234-1241 ◽  
Author(s):  
Phoivas D. Ziogas ◽  
Eduardo P. Wiechmann ◽  
Victor R. Stefanovic
Keyword(s):  
Design Approach ◽  
Voltage Source ◽  
Voltage Source Inverters ◽  
Analysis And Design ◽  
Computer Aided Analysis ◽  
Computer Aided

scholarly journals Fault Diagnosis of Capacitance Aging in DC Link Capacitors of Voltage Source Inverters Using Evidence Reasoning Rule

2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Linhao Liao ◽  
Haibo Gao ◽  
Yelan He ◽  
Xiaobin Xu ◽  
Zhiguo Lin ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Bp Neural Network ◽  
Voltage Source ◽  
Neural Network Approach ◽  
Dc Voltage ◽  
Voltage Source Inverters ◽  
Failure State ◽  
Diagnosis Method ◽  
Relative Weighting ◽  
Different Levels

Capacitance aging of DC link capacitors in voltage source inverters (VSIs) is a common fault which can lead to instability of the DC voltage. In such a failure state, although the VSI can still work, its performance gradually deteriorates, resulting in a shorter service life of the equipment. Here, an online monitoring and fault diagnosis method for capacitance aging based on evidence reasoning (ER) rule is presented. Features from the DC link voltage data with different levels of capacitance aging are extracted, and data features are generated as pieces of diagnostic evidence, which are then combined according to the ER rule. Finally, capacitance aging fault levels were estimated using the combined results. This method has better diagnostic performance compared to a backpropagation (BP) neural network approach and can be used to flexibly define the relative weighting of each evidence parameter depending on the application. This approach can therefore be widely used for fault diagnosis of an array of different devices.

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