Research On Key Technology Of Thermal Power Main Steam Temperature Optimization System Control Strategy

Energy is the foundation and power of modernization. The constraints of energy resources are growing in China, and the ecological environment has become more and more serious. Pressure further increased on adjustment structure, improving energy efficiency and ensuring energy security, so energy development is facing a series of new problems and new challenges. With the domestic economic situation of China into the "new normal", economic development has made more stringent requirements for the power industry. To ensure steady progress in power production process, the coal consumption of new coal-fired generating units to be less than 300 grams per kilowatt hour. At the same time, pollutant emissions should close to the gas emission level. The reduce of coal can improve the requirements for each link of power plant operation, and the main steam temperature regulation is basis to ensure the equipment safety and power load stability. This paper mainly aims at the power plant main steam temperature control strategy research, intends to through the plug-in controller under different load requirements, to ensure the stability of main steam temperature, optimization for the dynamic response speed of the main steam temperature.In this paper, the plug-in controller of the main steam temperature is designed by the virtual instrument technology platform LabVIEW, using MODBUS TCP/IP protocol with the Xinhua distributed control system XDPS6.0, completing the design of the plug-in controller. With the support of the heartbeat packet logic, the automatic switching of the plug-in controller is realized. This can not only ensure the stability of the main steam temperature, but also switch back to the traditional PID controller when the plug-in controller failure or the need for manual operation.There are two ways to design the plug-in controller: one is to use fuzzy theory which is on the basis of the traditional PID controller, and add the PID parameter self setting function to form a fuzzy self-tuning PID controller; The other is the crystallization of the development of artificial intelligence—neural network technology, through the combination of neural network and fuzzy theory, forming a deep integration of fuzzy neural network controller. At the same time, using the imperial competition algorithm,find the optimal solution for the traditional PID controller parameter optimization problem. In the end, the two kinds of plug-in controller and the conventional PID controller are compared. Through the simulation experiments, it is proved that the plug-in controller is better, and the conclusion is drawn that different controllers have their own advantages in different situations.The main work of this paper is as follows: firstly, considering the constraint of the controlled object, the parameters of the traditional PID controller are optimized by usingthe imperial competition algorithm; secondly, the design of the plug-in controller is realized by using the virtual instrument technology. Thirdly, through the logic design of the heartbeat packet, the plug-in controller is more practical, the utility and safety requirements of the power plant are met. Fourthly, through the design of two kinds of plug-in controller—the fuzzy self tuning PID controller and the fuzzy neural network controller come to the following conclusions: Fuzzy self-tuning PID control strategy is capable of dynamic adjustment and robust, and can adapt to the complex and changeable environment. Fuzzy neural network control strategy is applied to the device model of the more stable, higher accuracy requirements of the scene.