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作 者:任易凡 Ren Yi-fan
机构地区:[1]浙江大唐乌沙山发电有限责任公司,浙江宁波315722
出 处:《电力系统装备》2023年第2期122-124,共3页Electric Power System Equipment
摘 要:自从进入21世纪以来,全球变暖的形势逐渐逼近,发展低碳经济已经成为我国发展的主要道路。如何在发展过程中节能减排,通过消耗较低的能源产生较高的经济价值和社会价值成为难题。对于火电厂的运行优化技术而言,需要找到燃料的最佳掺烧配比,并将其纳入到主设备的运行模型当中,这样不仅达到了低碳经济的相关标准,还能对火电厂的运行技术进行优化。传统的发电成本不够客观,转换比较复杂,且精度不够高。在改善之后,可对火电厂的运行技术进行优化。文章基于此,借助数据挖掘技术,对火电厂运行优化技术进行探讨,整体提高机组的运行水平。应用后发现有着较高的经济型,对我国的可持续发展有着较高的价值。Since entering the 21st century,the form of global warming has gradually approached,and the development of low-carbon economy has become the main road of China’s development.How to save energy and reduce emissions in the development process and generate higher economic value and social value through lower energy consumption has become a problem.For the operation optimization technology of thermal power plants,it is necessary to find the best blending ratio of fuel and incorporate it into the operation model of main equipment,so that not only the relevant standards of low-carbon economy can be achieved,but also the operation technology of thermal power plants can be optimized.The traditional generation cost is not objective enough,the conversion is more complex,and the accuracy is not high enough.After improvement,the operation optimization technology of thermal power plants can be improved.Based on this,with the help of data mining technology,this paper discusses the operation optimization technology of thermal power plants to improve the overall optimization level of units.After application,it is found that it has a higher economic type and has a higher application value for the sustainable development of China.
分 类 号:TM621[电气工程—电力系统及自动化]
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