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

With the development of power industry, the proportion of Large-scale Generating Unit in power grid is getting bigger and bigger. The control object of the generating unit is a complicated manufacturing process which is strong-coupling, time-variable, nonlinear and big-lag. It is difficult to establish accurate model when the parameters of control object is uncertainty because of all disturbances, and it is a complex rambunctious large-scale production process. The efficient way to solve the problem is coordinated control system which is developed based on conventional local control system. GA-RBF network is used to identify the coordinated control system by establishing a predictive model in generalized predictive control strategy, and achieve predictive control with online rolling optimization and real time feedback revision. The results of the simulation show the availability of it.