A decoupled neuro-sliding mode controller with its application to multimachine power systems

In this paper we propose a decoupled neuro-sliding mode controller that has the ability to enhance the transient stability and achieve voltage regulation simultaneously for multimachine power systems. The design of this controller involves the direct feedback linearization (DFL) technique and the sliding mode control (SMC) theory. In this approach, the whole system is decoupled into two subsystems and the state response of each subsystem can be designed to be governed by a corresponding sliding surface. Then a hierarchical sliding mode control approach is designed. The main drawbacks of SMC are firstly, chattering phenomenon; and secondly the calculation of equivalent control. By introducing the neural network concept to the sliding mode, the chattering is alleviated and the equivalent control is determined with a limited knowledge of the system. Based on only local measurements, the proposed controller is applied to two-generator infinite bus power system. Simulation results illustrate the performance of the developed approach regardless of the system operating conditions.