Optimal design of a sliding mode AGC controller: Application to a nonlinear interconnected model

This paper presents a design of a sliding mode controller (SMC) with chattering reduction feature applied to interconnected automatic generation control (AGC). After formulating the design of SMC as an optimization problem, the proposed method utilizes the genetic algorithms (GA) to find the optimal feedback gains and switching vector values of the controller. In order to guarantee the enhancement of the system dynamical performance and a reduction in the SMC chattering, two objective functions were investigated in the optimization process. The tested two-interconnected AGC model incorporates nonlinearities in terms of generation rate constraint (GRC) and a limiter on the integral control value. Comparison with previous AGC methods reported in literature validates the significance of the proposed SMC design.

Research highlights
► This paper presents a design of a sliding mode controller with chattering reduction feature applied to automatic generation control.
► The proposed method utilizes the genetic algorithms to find the optimal values of the controller.
► Two objective functions were investigated in the optimization process.
► The tested AGC models incorporate nonlinearities in terms of generation rate constraint and a limiter on the integral control value.
► Comparison with previously reported AGC methods validates the significance of the proposed SMC design.