逆模型控制在協(xié)調(diào)控制系統(tǒng)中的應(yīng)用
[Abstract]:With the increasing demand of electric power, the technical equipment level of electric power industry has been greatly improved, and the large-scale generator sets have a rapid development. Large units with large capacity, high parameters, high efficiency and high automation technology have become the main characteristics of the development of China's electric power industry. At the same time, in order to ensure the safety, high quality and economical operation of the power system, the power grid will strictly check the automatic generation control of the power plant, the input rate of the primary frequency modulation and the regulating index. Therefore, the requirement of coordinated control system, which is the control center of power plant, is higher and higher. At present, more and more advanced control algorithms and intelligent control strategies have been applied to the coordinated control system. As an advanced control algorithm, inverse model control algorithm is suitable for complex control system because of its characteristic. As a promising controller, it shows its superiority in strong coupling, multivariable and time-varying systems. With the increasing of computing speed, the application of computer in complex industrial process is possible. In this paper, the inverse model control algorithm is deeply studied and applied to the coordinated control system of 600MW units. Firstly, the basic concept of coordinated control system is introduced in detail, and the controlled object model used in this paper is determined. Secondly, the single variable inverse model control algorithm is analyzed and studied in detail. According to its control characteristics, the internal model control concept is introduced to form the closed loop control system, and the control simulation of the single variable control system in the thermal process is carried out. Compared with the traditional PID control, the feasibility of the algorithm is verified. Then, the multivariable inverse model control algorithm is analyzed and studied, and the multivariable support vector machine control and the multivariable least square support vector machine control are analyzed and compared by simulation. Finally, multi-model control is combined with multi-variable inverse model control. The simulation results show that the control quality of multi-model inverse model control is better than that of single-model control. This coordinated control system can achieve good control results in each inverse model control simulation.
【學(xué)位授予單位】:華北電力大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類(lèi)號(hào)】:TP273
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