逆模型控制在协调控制系统中的应用

发布时间：2019-03-12 10:17

【摘要】：随着电力需求的不断增长,电力工业的技术装备水平得到了较大的提高,大型发电机组有了较快的发展。大容量、高参数、高效率、高自动化技术的大机组已经成为我国电力工业发展的主要特点。同时,为保证电力系统的安全、优质、经济运行,电网会对发电厂自动发电控制和一次调频的投入率、调节指标进行严格的考核。因此,电厂对机组的控制中枢——协调控制系统的要求也越来越高。目前,对于单元机组先进控制研究变得越发重要,更多的先进控制算法、智能控制策略被应用到协调控制系统当中。逆模型控制算法作为一种先进控制算法,因其算法本身特性,适于应用于复杂控制系统中。作为有发展前景的控制器,在强耦合、多变量、时变系统中显示了其优越性。随着计算机运算速度的不断提高,使其在复杂工业过程中的应用成为可能。本文对逆模型控制算法进行了深入研究,并将其应用于600MW机组协调控制系统中。首先,详细介绍了协调控制系统的基本概念,确定了本文所采用的被控对象模型;其次,对单变量逆模型控制算法进行了具体分析研究,结合其控制特点引入内模控制理念形成闭环控制系统,并对热工过程的单变量控制系统进行控制仿真,与传统PID控制相对比验证了该算法的可行性;然后,对多变量逆模型控制算法进行了分析研究,通过仿真对多变量支持向量机控制与多变量最小二乘支持向量机控制进行分析比较;最后,将多模型控制与多变量逆模型控制相结合,控制仿真结果表明:对非典型工况点进行控制时多模型多变量逆模型控制的控制品质要优于单模型控制。该协调控制系统在各逆模型控制仿真中均可获得良好的控制效果。
[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.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP273

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