热力发电Issue(5)：132-134,3.DOI:10.3969/j.issn.1002-3364.2014.05.132
基于BP神经网络的火电机组实时负荷裕度计算
BP neural network based real-time calculation for load margin in thermal power plants
摘要
Abstract
On the basis of the BP neutral net work method,method for calculating the real-time maximum adj ustable load for thermal power units was presented.Through analysis on related op-eration parameters such as pulverizing system capacity,heating surface temperature,main steam pressure,feedwater flow rate,turbine vibration and auxiliary equipment performance,this method can ascertain the real-time maximum adj ustable unit load.According to the relativity between the maximum adj ustable loads during different periods and the unit parameters at the same period,the obtained unit load margin not only can guide the operation optimization,but also can help the power grid regulate the unit load in time.关键词
火电机组/可调最大负荷/实时负荷裕度/BP神经网络/运行参数Key words
thermal power unit/adj ustable maximum load/real-time load adj ustment/BP neural network/operation parameters分类
信息技术与安全科学引用本文复制引用
范奇,胡学伟,吴涛,赖菲,王智微,刘超飞,宋兴光,陈钢..基于BP神经网络的火电机组实时负荷裕度计算[J].热力发电,2014,(5):132-134,3.基金项目
华能集团重点科技项目(HNKJ-H23) （HNKJ-H23）
中国南方电网有限责任公司科技项目节能调度技术资金资助(QCSG211033-2011B11) （QCSG211033-2011B11）
