Recurrent neural network model-based control for coordination of PSS and STATCOM for power system stability improvement

Flexible AC Transmission System (FACTs) devices are used in power transmission networks in order to increase maximum power transmission and stability. They also help to damp low frequency oscillations for both local and internal areas. On the other hand, the design of these devices with uncoordinated Power System Stability (PSS) may degrade the performance of the power system. In addition, the power systems are vast, complex and nonlinear. Linear control strategies do not have a satisfactory performance for these systems, especially when some disturbances occur. In this study, a nonlinear coordinated control strategy based on Recurrent Neural Network (CCSRNN) is designed to control PSS and Static Synchronous Compensator (STATCOM) coordinately for a standard multi-machine power system. The CCSRNN consists of two parts including RNN Identifier (RNNI) and RNN Controller (RNNC). The results demonstrate that the proposed coordinated control strategy based on RNN leads to an improvement in the stability of frequency and terminal voltage responses of the generators.

کلیدواژه ها:

Recurrent neural network ، coordinated control strategy ، power system stability ، STATCOM