BP neural network based real-time calculation for load margin in thermal power plants

FAN Qi; HU Xuewei; WU Tao; LAI Fei; WANG Zhiwei; LIU Chaofei; SONG Xingguang; CHEN Gang

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BP neural network based real-time calculation for load margin in thermal power plants

更新时间：2025-09-28

- BP neural network based real-time calculation for load margin in thermal power plants
- Thermal Power Generation Vol. 43, Issue 5, Pages: 132-134(2014)
- 作者机构：
  
  1. 西安热工研究院有限公司
  2. 中国南方电网有限责任公司
  3. 南方电网综合能源有限公司
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM621;TP183
- Published：2014
- 稿件说明：
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FAN Qi, HU Xuewei, WU Tao, et al. BP neural network based real-time calculation for load margin in thermal power plants[J]. Thermal power generation, 2014, 43(5): 132-134.
DOI：

FAN Qi, HU Xuewei, WU Tao, et al. BP neural network based real-time calculation for load margin in thermal power plants[J]. Thermal power generation, 2014, 43(5): 132-134. DOI：

摘要

基于BP神经网络给出了计算火电机组实时最大可调负荷的方法

该方法可通过对近期机组制粉系统出力、锅炉受热面温度、主蒸汽压力、给水流量、汽轮机振动及辅机性能等相关运行参数的分析

得到机组实时可调最大负荷。根据机组不同时段最大可调负荷与同时段机组运行参数的相关性

计算得到的机组负荷裕度不仅可以指导机组的优化运行

而且可使电网及时调整各机组负荷。

Abstract

On the basis of the BP neutral net work method

method for calculating the real-time maximum adjustable load for thermal power units was presented.Through analysis on related operation 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 adjustable unit load.According to the relativity between the maximum adjustable 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.

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