Security assessment of a turbine generator using H∞ control based on artificial neural networks and expert systems

The authors describe a preliminary framework for real time security assessment of turbine generators that integrates artificial neural networks (ANN) and knowledge-based expert systems (KBES). The authors also present the transient stability assessment of a turbine generator using a back propagation artificial neural network. Additional signals have been added to the AVR and governor loops of the turbine generator using H^∞ control. The ANN´s ability to learn, interpolate and reproduce behaviour is presented, showing how the stability of a high order nonlinear system can be obtained without the prior solution of the state equations