摘要
分析表明,煤层气低浓度瓦斯氧化发电不仅可以摧毁排放瓦斯实现碳减排,同时产生发电效益。由于煤层气瓦斯抽采量的不稳定造成了热源热量的波动,传统控制系统不能很好地适应这种情况。基于单元机组协调控制系统(CCS)的特性,阐述智能控制器的设计与应用,对低浓度瓦斯氧化发电单元机组控制优化,并进行对比试验。结果表明,模糊控制器及自适应神经模糊推理系统控制器(ANFIS)的应用,使系统动态特性和自适应能力得到提升,并能更充分利用低浓度瓦斯的热量资源。
Oxidation electricity generation with coal bed methane at low-concentration can not only destroy the greenhouse gases and reduce carbon emission, but also obtain considerable benefits.However, the instability of gas extraction results in the fluctuation of heat, and the traditional control system can not adapt to this situation. Based on the analysis of the CCS and the design of AI controller,the optimization of CCS is carried out. The comparison results are also given. The results show that the application of fuzzy controller and ANFIS can improve the dynamic characteristics and adaptive ability of the system, and make full use of the heat resources.
作者
屠庆
张家鹏
TU Qing;ZHANG Jiapeng(Shanghai Oriental Enviro-Industry Co.,Ltd.,Shanghai 200233,China)
出处
《电子技术(上海)》
2022年第3期50-54,共5页
Electronic Technology