학술논문
直接空冷系统变工况背压算法分析及最佳真空运行优化 / Algorithm analysis of variable condition back pressure of direct air-cooled system and operation optimization of optimal vacuum
Document Type
Academic Journal
Author
张国斌; 郭瑞君; 刘永江; 龙建平; 李德忠; 赵宏伟; 席莉; Zhang Guobin; Guo Ruijun; Liu Yongjiang; Long Jianping; Li Dezhong; Zhao Hongwei; Xi Li
Source
能源与环保 / China Energy and Environmental Protection. 45(11):241-248
Subject
Language
Chinese
ISSN
1003-0506
Abstract
直接空冷技术因其显著的节水优势以及投资成本低、综合换热效率高、运行灵活和防冻性能好等优点,已被越来越多的国家认同和使用,成为我国"富煤贫水"地区新建、改进和扩建燃煤发电机组的首选技术.为了获取直接空冷系统变工况下的最佳真空及其运行优化方案,对直接空冷系统变工况计算方法进行了对比研究,提出了基于数据驱动算法的凝汽器真空计算方法.利用Matlab软件进行仿真试验,得出该方法下的凝汽器真空误差最小,最为符合工程实际情况.通过基于数据驱动算法(自适应模糊推理系统,ANFIS)建立的数学模型以及分析产生误差的原因,对某600 MW直接空冷机组冷端系统进行基于最佳真空的运行优化,机组净增功率平均增加约6.02 MW,能够显著降低电厂供电煤耗率.
Direct air-cooled technology has been recognized and used by more and more countries because of its obvious advantages of water saving,low investment cost,high comprehensive heat exchange efficiency,flexible operation and good anti-freezing performance,and has become the first choice technology for building,improving and expanding coal-fired generating units in"coal-rich and water-poor"areas in China.In order to obtain the optimal vacuum and operation optimization scheme of the direct air-cooled system under var-iable condition,comparative study on the calculation methods of direct air-cooled system under variable condition the calculation meth-ods of direct air-cooled system was carried out,and the method of condenser vacuum calculation based on data-driven algorithm was pro-posed.Using Matlab software to carry out simulation test,the condenser vacuum error under this method was the smallest,which most conformed to the engineering practice.Through the mathematical model established based on the data-driven algorithm(adaptive fuzzy inference system,ANFIS)and the analysis of the causes of errors,the cold end system of a 600 MW direct air cooling unit was opti-mized based on the optimal vacuum.The average net power increase of the unit was about 6.02 MW,which could significantly reduce the power supply coal consumption rate of the power plant.
Direct air-cooled technology has been recognized and used by more and more countries because of its obvious advantages of water saving,low investment cost,high comprehensive heat exchange efficiency,flexible operation and good anti-freezing performance,and has become the first choice technology for building,improving and expanding coal-fired generating units in"coal-rich and water-poor"areas in China.In order to obtain the optimal vacuum and operation optimization scheme of the direct air-cooled system under var-iable condition,comparative study on the calculation methods of direct air-cooled system under variable condition the calculation meth-ods of direct air-cooled system was carried out,and the method of condenser vacuum calculation based on data-driven algorithm was pro-posed.Using Matlab software to carry out simulation test,the condenser vacuum error under this method was the smallest,which most conformed to the engineering practice.Through the mathematical model established based on the data-driven algorithm(adaptive fuzzy inference system,ANFIS)and the analysis of the causes of errors,the cold end system of a 600 MW direct air cooling unit was opti-mized based on the optimal vacuum.The average net power increase of the unit was about 6.02 MW,which could significantly reduce the power supply coal consumption rate of the power plant.