A Review on Application of ANN and Machine Learning Algorithm for the Optimal Placement of STATCOM

Power system optimization is the most prominent and sophisticated task ever faced by the power engineers. Many research has been carried out throughout the world for optimal placement of the STATCOM in the power network. It also determines the amount of real and reactive power communicated between the two systems. This paper presents a 9 bus power system model and the focus is to minimize the load flow, therefore a sophisticated feed forward algorithm has been applied to solve the power flow. In the second part a training method based on Machine Learning has been carried out for rapid injection of Voltage during power system unbalance due to flooding of Reactive Power. A Matlab Simulink Model has been developed considering the IEEE 5 bus system for demonstrating the robust ness of the controller.