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