The application of Kalman filtering estimation techniques in power station control systems

Abstract

This paper describes the application of Kalman filter estimation techniques to an operational 500 MW oil-fired boiler/turbine unit. In common with most physical processes, the plant contains nonlinearities, unknown or poorly defined variables, and bias disturbances. These problems are overcome by the use of bias states which are appended to the system state equations.