Artificial neural network based SMES unit for transient stability improvement

This paper discusses artificial neural network (ANN) controlled superconducting magnetic energy storage (SMES) unit for improvement of transient stability of a power system under various system operating conditions and different fault conditions. The inputs to the ANN controller are the deviation in rotor angular velocity Δω of the machine connected to faulted-bus and the voltage deviation Δν of the faulted bus and are used for estimating the control variables-the active power and the reactive power. The results of investigations carried out regarding effectiveness of ANN controlled SMES in improving transient stability of a critically stable two-machine system are presented and compared with proportional type control of SMES.