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热力系统模拟进化新技术研究

Research on New Technique of Simulated Evolution for Thermodynamic System

【作者】 王鑫鑫

【导师】 徐向东;

【作者基本信息】 清华大学 , 动力机械及工程, 2003, 博士

【摘要】 本文针对我国目前的能源情况,分析了现有热力控制系统中存在的问题,从提高热力系统的安全可靠性、运行经济性和降低污染的角度考虑,提出将模拟进化理论引入热力系统动态学研究中,解决热力控制系统优化中的问题。首先,对模拟进化理论进行深入研究,说明了运用模拟进化理论解决热力控制系统优化问题的可行性,并通过对模拟进化理论的可计算性分析,建立了模拟进化算法通用框架,为建立热力控制系统进化优化体系建立了理论基础。采用遗传规划的方法对热力系统实际被控对象进行进化自适应建模。在此基础上,首次提出了热力控制系统进化优化体系,解决了热力控制系统在线优化的问题,并分析了该体系的组成、工作过程、特点和具体实现过程。针对现有热力控制系统中常用的控制策略和控制方法,采用模拟进化理论进行优化的仿真研究;并以实际热力系统的工作过程为对象,对热力控制系统进化优化体系进行仿真研究和试验检验,验证了该体系的可行性和适用性。在炉膛火焰监测系统的基础上,设计分析了以主蒸汽压力为主调、以炉膛总辐射能为副调参数的燃烧控制系统,并通过仿真研究和试验验证,比较了该方法的优越性。在此基础上,建立了基于辐射能检测的燃烧进化优化系统,通过烟气含氧量与炉膛总辐射能的模糊自寻优控制器和风/煤比进化优化器组成的燃烧优化回路的共同作用,对锅炉进行燃烧经济性调节,达到燃烧优化控制的目的。模拟进化理论作为一种新兴的优化理论,在热力系统中的研究刚刚开始。本文的工作丰富了热力系统优化理论和热力系统动态学的范畴。将模拟进化理论应用到热力系统中,对于提高热力系统的运行效率、降低污染、提高设备的投运率都有着非常重要的作用。

【Abstract】 Aiming at the energy situation in China, this paper analyzed the problem in thermodynamic control systems, to improve the safety, reliability and economical efficiency of thermodynamic systems, and to reduce pollution, this paper Bring the simulated evolution theory into the research on thermal dynamic to solve the optimization problem in thermodynamic control systems. Firstly, this paper deeply studied the simulated evolution theory, demonstrated the feasibility of resolving the optimization problems in the thermodynamic control systems with simulated evolution theory, and through the analysis of the calculability of this theory, created the general frame of the simulated evolution algorithm and created the theoretical base for building the evolution optimizing architecture of thermodynamic control systems. Genetic Programming was adopted to carry out the self-adaptive modeling of practical thermodynamic controlled objects. On this base, an evolution optimizing architecture of thermodynamic control systems was firstly proposed, the on-line optimizing problems of thermodynamic control systems were settled and the composing, working process, characteristics and concrete realizing procedure of the architecture were analyzed. Aiming at the common control strategies and control methods of the thermodynamic control systems, this paper carried out the optimization emulation research with the simulated evolution theory; this paper also made the emulation research and the experimental study of the evolution optimizing architecture of the thermodynamic control systems with the practical thermodynamic systems as research objects, and finally verified the feasibility and applicability of the architecture. Based on the furnace chamber flame monitoring system, this paper designed and analyzed a combustion control system with the main steam pressure as the primary adjusting parameter and the total radiant energy of the furnace chamber as the subsidiary parameter, and compared the advantages of the system with emulation research and the experimental test. Then a combustion evolution optimizing system based on the radiant energy measuring was built, economical boiler combustion adjustment was carried out, under the combined action of a controller based on fuzzy self -optimizing of fume<WP=7>oxygen content and the total furnace chamber radiant energy and a controller based on the evolution optimizing of the air/coal rate, then the combustion optimizing control was accomplished. As a burgeoning optimizing theory, the simulated evolution optimizing theory is just now being studied. The work of this paper greatly enriched the categories of the thermodynamic system optimizing theory and the thermal dynamic theory. Bring the simulated evolution theory into thermodynamic systems has very important meanings for increasing the operation efficiencies of thermodynamic systems and the utilization ratio of equipment and decreasing pollution.

  • 【网络出版投稿人】 清华大学
  • 【网络出版年期】2004年 02期
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