模糊免疫算法的研究及在燃煤电厂脱硫系统中的应用

发布时间：2018-01-11 01:23

本文关键词：模糊免疫算法的研究及在燃煤电厂脱硫系统中的应用　出处：《太原理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：我国70%以上的电能来自燃煤电厂,每年燃煤电厂消耗燃煤量达到30亿吨,由于基数巨大,导致其烟气排放成为影响大气质量的重要因素之一,环境的压力给电厂的烟气排放提出了更高的要求。燃煤电厂排放烟气中的硫含量高低是电厂烟气排放是否达标的重要指标,该指标与脱硫方法,负荷,燃煤含硫量,控制的诸多要素相关,且往往与发电成本成负相关。脱硫系统的控制是有效控制成本,满足达标排放,提高脱硫效率的重要手段。石灰石-石膏法是目前燃煤电厂常用脱硫方法之一。分析表明,在石灰石-石膏法脱硫系统中,浆液的pH值直接影响到系统的脱硫效率,是石灰石-石膏法脱硫系统中的重要参数,可以采用浆液p H值作为衡量烟气脱硫系统的主要被控参数。模型及实际运行情况分析表明,浆液的PH值受负荷,燃烧情况,燃煤含硫量,等诸多因素影响,且这些影响是非线性的,相互强耦合,采用传统的单回路PID很难达到较高的脱硫效率。针对浆液PH值对象非线性严重,传统PID控制无法做到全负荷,全煤种工况下脱硫效率保持不变得情况,本文采用用模糊免疫PID控制算法进行控制,仿真研究表明,该方法较传统PID在负荷变化,入口烟气量等多种情况下有较好的控制效果。在仿真分析的基础上,课题组将该方案在国电智深系统上进行了编程、组态,并在山西某电厂的脱硫系统进行了试运行。经反复调试、整定,系统运行稳定,烟气含硫量达到环保要求。
[Abstract]:More than 70% of China's electricity comes from coal-fired power plants, coal-fired power plants a year coal consumption reached 30 tons, due to the huge base of the flue gas emission has become one of the important factors that affect air quality, environmental pressure has put forward higher requirements to the power plant flue gas emissions. High and low sulfur content coal-fired power plant flue gas emissions is important whether the index of power plant flue gas emissions standards, the load index and the methods of desulfurization, sulfur content of coal, the related factors, and often with power costs are negatively correlated. The control of the desulfurization system is to effectively control cost, meet emission standards, an important means to improve the desulfurization efficiency of limestone gypsum method is one of the methods of coal-fired power plant the current commonly used desulfurization. The results show that, in the limestone gypsum FGD system, the pH value of slurry desulfurization efficiency directly affects the system, is a limestone gypsum FGD system The important parameters, can be used in slurry p value H as the main controlled parameters to measure the flue gas desulfurization system. The model and actual operation situation analysis shows that the slurry pH load, combustion, sulfur content of coal, and many other factors, and these effects are nonlinear, mutual coupling, using the traditional single loop PID it is difficult to achieve high desulfurization efficiency. The slurry pH nonlinear object of serious, traditional PID control is unable to achieve full load, the desulfurization efficiency of coal under the conditions of constant condition, this paper adopts fuzzy immune PID control algorithm for the control, simulation results show that this method is better than traditional PID in the load change has better control effect the entrance flue gas volume under some condition. On the basis of the simulation analysis, the research group will be the project of programming, and system configuration in Guodian Zhishen, in a power plant in Shanxi desulfurization system After repeated commissioning, the system runs steadily and the sulfur content of the flue gas reaches the environmental protection requirements.

【学位授予单位】：太原理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：X773

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