中国电力 ›› 2018, Vol. 51 ›› Issue (10): 43-48.DOI: 10.11930/j.issn.1004-9649.201808014

• 智能发电关键技术专栏 • 上一篇    下一篇

基于智能算法的火电机组启动优化控制技术

朱晓星1,2, 寻新1,2, 陈厚涛1,2, 王志杰2,3, 王锡辉2,3, 彭梁2,3   

  1. 1. 国网湖南省电力有限公司电力科学研究院, 湖南 长沙 410007;
    2. 高效清洁火力发电技术湖南省重点实验室, 湖南 长沙 410007;
    3. 湖南省湘电试验研究院有限公司, 湖南 长沙 410007
  • 收稿日期:2018-08-06 出版日期:2018-10-05 发布日期:2018-10-12
  • 作者简介:朱晓星(1980-),男,硕士,高级工程师,从事发电机组优化控制技术、网源协调技术的研究与应用,E-mail:yuluzxx@126.com;寻新(1969-),男,硕士,高级工程师,从事发电机组优化控制技术、网源协调技术的研究与应用,E-mail:xunxin69@163.com;陈厚涛(1983-),男,博士,高级工程师,从事发电机组优化控制技术、网源协调技术的研究与应用,E-mail:2004xiao_chen@163.com;王志杰(1982-),男,博士,高级工程师,从事热工自动控制及源网协调技术方面的研究,E-mail:20025306@163.com
  • 基金资助:
    湖南省科技创新平台与人才计划项目(2016TP1027);湖南省科技计划项目(2012GK3017)。

Optimized Control Technology for Start-up Process of Thermal Power Units Based on Intelligent Algorithm

ZHU Xiaoxing1,2, XUN Xin1,2, CHEN Houtao1,2, WANG Zhijie2,3, WANG Xihui2,3, PENG Liang2,3   

  1. 1. State Grid Hunan Electric Power Company Limited Research Institute, Changsha 410007, China;
    2. Hunan Province Key Laboratory of High Efficiency & Clean Thermal Power Technology, Changsha 410007, China;
    3. Hunan Xiangdian Test and Research Institute Company Limited, Changsha 410007, China
  • Received:2018-08-06 Online:2018-10-05 Published:2018-10-12
  • Supported by:
    This work is supported by Science-Technology Innovation Platform and Talents Program of Hunan Province (No.2016TP12027); Hunan Province Science and Technology Project (No.2012GK3017).

摘要: 基于机组启动前的设备状况等约束条件,通过混合整数线性规划算法实现了机组启动路径的智能规划;基于模糊数相似度风险分析方法,对汽轮机启动过程进行风险预估,实现了一种不依赖于热应力模型的汽轮机自启动控制方式,适用于各种主流汽轮机;采用仿人智能控制,提出了故障智能剔除方法、蒸汽管道自动暖管方法。应用表明,这些基于智能算法的控制技术,减轻了运行人员劳动强度,对火电机组启动过程起到了优化效果,整体提升了火电机组的智能化控制水平。

关键词: 火电机组, 智能算法, 混合整数线性规划, 模糊风险分析, 汽轮机自启动, 仿人智能控制

Abstract: Based on the constraint conditions such as equipment status before the start-up of unit, the intelligent planning for unit start-up path is realized by mixed integer linear programming algorithm. Using the risk analysis method based on similarity measure of fuzzy numbers, the risk is forecasted for the start-up process of steam turbine. Furthermore, the automatic start-up control method independent of the thermal stress model is realized, which is applicable to all kinds of mainstream steam turbines. Based on the human-simulated intelligent control method, the intelligent fault elimination method and the automatic pipe warm-up method are put forward. From these applications it is shown that the control technology based on intelligent algorithm can reduce the labor strength of the operators, improve the unit's start-up process, and enhance the intelligent control level of thermal power unit.

Key words: thermal power unit, intelligent algorithm, mixed integer linear programming, fuzzy risk analysis, automatic turbine control (ATC), human-simulated intelligent control

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