Research On Predictive Control And Combustion Optimization For Thermal Power Plant Boiler

Along with the increasing competitive pressures in the market, the shortage of the energy sources day by day, and the more stringent environmental regulations, it is urgent for thermal power units to improve the performance of the process automatic control, and to reduce the energy consumption and air pollution emission, using advanced process control and optimization techniques is deemed to be a feasible method. Advanced process control algorithms, such as model predictive control (MPC), and many kinds of optimization algorithms have achieved increasingly perfect theoretical results, and some of the algorithms have be widely used in industry in some developed country. In us china, the introduction of the new-style control systems has already provided hardware condition for the application of the advanced algorithms, therefore, some instances have appeared, however, there is still a distance between the current state and the popularization of the algorithms in industry. The reasons are various: firstly, most algorithms are very complex in theory, and the tuning of the parameters is not so simple and intuitive for the general engineers to master; secondly, there is a lack of self-developed engineering software.Choosing Stair-like Generalized Predictive Control (SGPC) algorithm and a kind of dynamic-process-model-based online optimization algorithm, we discussed the junction of the advanced algorithms and their industrial application in thermal power unit, the discussion involved two aspects, advanced control and optimization, not only in theoretic, but also in practice.At the beginning of the thesis, we gave a brief review of the development of advanced control, predictive control, and optimization techniques, and then the applications of advanced control and optimization to thermal power units were classified and summarized, by pointing out that the algorithms were far from being generalized in thermal power units in our country, the research content of this thesis was educed. The main body of this thesis includes the research on the algorithms, the design of the engineering applications software, and the practice in industry. Firstly, aiming at the above two reasons, SGPC algorithm and the dynamic-process-model-based online optimization algorithm were improved, and then an engineering software platform was developed, whereafter, we used advanced control and optimization in a special thermal power plant boiler, the results show the feasibility of the technique and the thought. In the end, research work of this...