说明：  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)