检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:李承周[1] 王宁玲[1] 高舒潭 苏永健 郭洪远 杨志平[1] 李晓恩 杨勇平[1] LI Chengzhou;WANG Ningling;GAO Shutan;SU Yongjian;GUO Hongyuan;YANG Zhiping;LI Xiao’en;YANG Yongping(National Thermal Power Engineering&Technology Research Center,North China Electric Power University,Changping District,Beijing 102206,China;Ningxia Jingneng Ningdong Electric Power Co.,Ltd,Yinchuan 750000,Ningxia Hui Autonomous Region,China;National institute of Clean-and-Low-Carbon Energy,Changping District,Beijing 102211,China)
机构地区:[1]华北电力大学国家火力发电工程技术研究中心,北京市昌平区102206 [2]宁夏京能宁东发电有限责任公司,宁夏回族自治区银川市750000 [3]北京低碳清洁能源研究院,北京市昌平区102211
出 处:《中国电机工程学报》2021年第5期1771-1782,共12页Proceedings of the CSEE
基 金:国家自然科学基金项目(51821004)。
摘 要:随着我国能源消费与供给革命不断推进,火电企业发展形势日益严峻,需要在新一代能源系统中提高自身竞争优势。在系统阐述电站信息物理融合系统(cyber physical system,CPS)的体系结构和应用模式的基础上,提出基于CPS的火电机组生产过程表征与运行优化方法,并针对间接空冷机组冷端系统优化开展模型验证与案例分析。采用数据驱动方法建立间接空冷机组冷端CPS模型;利用机组历史运行数据修正汽轮机级组效率曲线,构建汽轮机变工况模型;通过BP神经网络回归预测空冷塔出口水温,协同优化得到变频泵最佳运行频率。案例机组运行数据分析结果表明:采用该冷端CPS模型及优化策略可降低机组供电煤耗0.9g/kWh,有效提升机组经济性。With the continuous development of revolution of energy consumption and supply in China, the development of thermal power plants are facing a severe situation that thermal power enterprises need to improve their competitiveness in new-generation power systems. The power generation mode based on cyber physical system(CPS) was proposed based on the general structure and application mode of the CPS for the working process modeling and operation optimization of cold-end system of indirect air-cooling power units. A data-driven mechanism analysis method was introduced to build the cold-end CPS model and guide operation. The history operation data of case unit was illustrated to modify the characteristic curves of stage efficiency for the off-design calculation of turbo-units. A back propagation neural network(BPNN) was built for forecasting the air cooling tower outlet water temperature. The optimal pump frequency was obtained by coupling simulation. The case study shows that the utilization of CPS-based modeling and optimizing strategy results in a 0.9 g/(kW·h) decrease in net coal consumption rate so as to improve the unit economic performance.
关 键 词:间接空冷机组 信息物理融合系统 冷端优化 机理建模 神经网络
分 类 号:TK9[动力工程及工程热物理]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.28