文件名称:ieee-14-bus-model
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AN ANN BASED APPROACH FOR
OPTIMAL PLACEMENT OF
DSTATCOM FOR VOLTAGE SAG
MITIGATION-Voltage sag has been considered as one of the most harmful power quality problem as it may significantly
affect industrial production. This paper presents an Artificial Neural Network (ANN) based approach for
optimal placement of Distribution Static Compensator (DSTATCOM) to mitigate voltage sag under
faults. Voltage sag under different type of short circuits has been estimated using MATLAB/SIMULINK
software. Optimal location of DSTATCOM has been obtained using a feed forward neural network
trained by post-fault voltage magnitude of three phases at different buses. Case studies have been
performed on IEEE 14-bus system and effectiveness of proposed approach of DSTATCOM placement
has been established
OPTIMAL PLACEMENT OF
DSTATCOM FOR VOLTAGE SAG
MITIGATION-Voltage sag has been considered as one of the most harmful power quality problem as it may significantly
affect industrial production. This paper presents an Artificial Neural Network (ANN) based approach for
optimal placement of Distribution Static Compensator (DSTATCOM) to mitigate voltage sag under
faults. Voltage sag under different type of short circuits has been estimated using MATLAB/SIMULINK
software. Optimal location of DSTATCOM has been obtained using a feed forward neural network
trained by post-fault voltage magnitude of three phases at different buses. Case studies have been
performed on IEEE 14-bus system and effectiveness of proposed approach of DSTATCOM placement
has been established
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ieee 14 bus model.pdf