Neural Network based Modeling and Simulation of Transformer Inrush Current
نویسندگان
چکیده
منابع مشابه
Neural Network based Modeling and Simulation for Estimation of Maximum Transformer Inrush Current
Inrush current is a very important phenomenon which occurs in transformer during energization at no load. It depends on several factors like magnetizing properties of magnetic material, resistant and inductance of primary winding, supply frequency, switching angle of circuit breaker, applied voltage etc. Objective of this study is to estimate the maximum value of transformer inrush current. Mea...
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Mitigation Transformer Inrush Current Using Modified Transient Current Limiter
This study presents a modified transient current limiter (MTCL) for mitigation the inrush current of transformers. The MTCL is based on conventional transient current limiter (TCL), which, its configuration is modified to overcome the TCL drawbacks of operation. The proposed MTCL offers lower power losses and voltage/current THD during normal operation mode. It needs only one limiting reactor i...
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Energizing of large power transformers is considered a critical event in the operation of an electric power system. When a transformer is energized by the grid or utility, it takes very high value current known as inrush current, the typical value of this current could be ten times. This inrush causes many problems like mechanical stress on transformer & harmonics injection to generator winding...
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ژورنال
عنوان ژورنال: International Journal of Intelligent Systems and Applications
سال: 2012
ISSN: 2074-904X,2074-9058
DOI: 10.5815/ijisa.2012.05.01