Study of an algorithm of GA-BP neural network generalized predictive control for Generating Unit

With the development of electric power, Large-scale Generating Unit in heat power plant is a system which is Strong-coupling, nonlinear and difficulty to establish accurate model, and etc, those characteristic become more and more prominent. So it is hard to make system gain optimum running effect with conventional control strategy. Aiming at characteristic of generating unit, GA-BP network is used to identify the coordinated control system for establishing a predictive model in generalized predictive control strategy, achieves predictive control with online rolling optimization and real time feedback revision. The results of the emulation show the availability of it.