Voltage control in a wind-diesel power system using adaptive RBF sliding mode control of STATCOM

In this paper, voltage control with the design and application of sliding mode control based on adaptive radial basis function (RBF) neural network of a static synchronous compensator (STATCOM) is proposed. Firstly, the mathematical model of the wind-diesel power system with STATCOM has been established. With the construction of the switching manifold, a sliding mode controller is designed which generates the control law with which the converter operation of STATCOM is controlled to maintain the reactive power balance in the system. An adaptive RBF neural network is used to approximate the system function in the sliding mode controller to improve the performance of the system. The stability of the system with the control laws is guaranteed using Lyapunov stability criteria. MATLAB simulations are performed, and the system is exposed to disturbances in load and wind power. Comparative analysis of voltage deviations is presented to show the efficacy of the proposed methodology.