中国电力 ›› 2019, Vol. 52 ›› Issue (11): 118-124.DOI: 10.11930/j.issn.1004-9649.201904001

• 发电 • 上一篇    下一篇

基于数据校正的电厂日常供电煤耗诊断分析

刘福国1, 张绪辉1, 吴举2, 崔福兴1   

  1. 1. 国网山东省电力公司电力科学研究院, 山东 济南 250003;
    2. 国电泰安热电有限公司, 山东 泰安 271000
  • 收稿日期:2019-03-29 修回日期:2019-07-16 出版日期:2019-11-05 发布日期:2019-11-05
  • 作者简介:刘福国(1969-),男,硕士,高级工程师,从事电厂锅炉运行监测、诊断和优化研究,E-mail:lephico@163.com

Diagnostic Analysis of Daily Coal Consumption Rate in Coal Fired Unit Based on Data Reconciliation

LIU Fuguo1, ZHANG Xuhui1, WU Ju2, CUI Fuxing1   

  1. 1. State Grid Shandong Electric Power Research Institute, Jinan 250003, China;
    2. Guodian Tai'an Thermal Power Co., Ltd., Tai'an 271000, China
  • Received:2019-03-29 Revised:2019-07-16 Online:2019-11-05 Published:2019-11-05

摘要: 由于煤耗量和发热量测量条件限制,燃煤发电机组采用正平衡法检测供电煤耗的误差较大。提出一种电厂正平衡煤耗检测数据的诊断分析方法,该方法融合锅炉和汽轮机的设计性能、反平衡热力试验数据以及测量仪表精度,根据最大似然原理,对电厂日常煤耗检测数据进行校正。一台350 MW超临界机组的应用表明,该校正模型能够识别煤耗检测数据误差并将其校正到合理值,校正后的供电煤耗准确而稳定,且随机组负荷升高而降低。虽然校正模型对机组52%的检测数据进行了明显校正,但却并不改变机组在全部周期内供电煤耗检测数据平均值,这是因为测量参数校正量的正负偏差在较长检测周期内互相抵消。

关键词: 燃煤机组, 供电煤耗, 测量误差, 数据校正

Abstract: Due to the difficulties to measure the coal consumption and calorific value, using positive balance method is not an accurate way to determine the net coal consumption rate for the coal fired units. In this work, the diagnostic analysis method for coal consumption rate by taking advantage of positive balance procedures in power plants is proposed. Integrated with the designed performance of boiler and steam turbine, the thermodynamic test data through the indirect balance method and the accuracy class of instruments, this method is employed on the basis of the maximum likelihood principle to reconcile the daily measurement data in coal consumption rate test. The practice on a 350 MW supercritical unit shows that through the application of the reconciliation model the gross measurement errors can be detected from the test data and then reconciled to reasonable values. After the reconciliation, coal consumption rate values are highly accurate and stable, which decrease as the unit load increases. Besides, even though as much as 52% of the measurement data have been reconciled, the average measurement value of the coal consumption rate will not be altered by this model within the entire period, because of the positive and negative deviations of the reconciled data cancelling out each other over a longer period.

Key words: coal-fired unit, net coal consumption rate, measurement error, data reconciliation

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