Data mining based determination method of main parameter benchmark values for power plants

LIANG; Junyu; ZHAO Ming; LI Pengfei; WANG Yang

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Data mining based determination method of main parameter benchmark values for power plants

更新时间：2025-09-28

- Data mining based determination method of main parameter benchmark values for power plants
- Thermal Power Generation Vol. 44, Issue 1, Pages: 73-76(2015)
- 作者机构：
  
  1. 华北电力大学动力工程及工程热物理博士后科研流动站
  2. 华北电力大学
  3. 云南电网公司工作站
  4. 云南电力试验研究院(集团)有限公司电力研究院
  5. 华北电力大学能源动力与机械工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM621;TP311.13
- Published：2015
- 稿件说明：
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LIANG, Junyu, ZHAO Ming, et al. Data mining based determination method of main parameter benchmark values for power plants[J]. Thermal power generation, 2015, 44(1): 73-76.
DOI：

LIANG, Junyu, ZHAO Ming, et al. Data mining based determination method of main parameter benchmark values for power plants[J]. Thermal power generation, 2015, 44(1): 73-76. DOI：

摘要

采集火电机组重要参数的历史运行数据

基于数据挖掘的方法对参数进行数据清理和数据规约

根据关联规则挖掘历史运行参数的基准值并给定相应的偏差范围。以某300MW机组为例

结合系统中的多重数据验证模块

对获取的基准值和偏差范围进行了试验验证。结果表明

采用数据挖掘手段获取的基准值和偏差带的准确性较高

保障了煤耗在线监测系统的准确性与可靠性

有利于电力调度的合理实施。

Abstract

The historical operation data of important parameters in a thermal power unit were collected and data mining methods were used to carry out data cleaning and data reduction.Then the reference values of operation parameters were obtained based on association rule

and the deviation ranges were given.Combined with multiple data validation module

the reference values and deviation ranges were verified.The results show that the accuracy of the reference values and deviation ranges obtained by data mining is high enough to meet the requirements of engineering calculations

thus to ensure the accuracy and reliability of the coal-line monitoring system

which is conducive to a fair and impartial implementation of energy-saving generation dispatching.

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