An indirect adaptive external neuro-controller for series capacitive reactance compensator in damping power oscillations

With a properly designed external controller, the series capacitive reactance compensator (SCRC) can be used to damp low frequency power oscillations in a power network. Conventionally, linear control techniques are used to design the external controller around a specific operating point where the nonlinear system equations are linearized. However, at other operating points its performance degrades. Nonlinear adaptive neuro-controllers offer an attractive approach to overcome this SCRC control problem. In this paper, a new indirect adaptive external neuro-controller (INDAEC) using radial basis function neural networks (RBFNN) is proposed to improve the damping performance of the SCRC. This nonlinear INDAEC needs no mathematical model of the SCRC and the power network. Results are included to show that it provides improved damping performance over a wide range of operating conditions