Abstract
In thermal power plants, it is an important theme to improve the control accuracy of main steam pressure and temperature etc. during load up/down. This paper focused on temperature control that is the most difficult control due to the nonlinearity and large dead time of power plant. First we constructed a simplified model of power plant that has first-order lag with dead time, and secondly a calculation method of feed forward signal is proposed from the temperature measured during load up/down. Optimal feed forward signals were decided from various load up/down rate and load change width, followed by generalization of feed foward control at any rate and load change width. Neural network was applied for this generalization. The proposed method was evaluated by a detailed simulator that represents accurately the dynamics of power plants.
