模型预测控制在超超临界机组AGC协调控制和主汽温控制中的应用

doi:10.11930/j.issn.1004-9649.201711202

中国电力 ›› 2018, Vol. 51 ›› Issue (7): 68-77.DOI: 10.11930/j.issn.1004-9649.201711202

模型预测控制在超超临界机组AGC协调控制和主汽温控制中的应用

蔡利军¹, 朱豫才², 吕霞³, 吴真¹, 蒋鹏飞², 赵超³, 张抗抗², 高兴¹

1. 国电建设内蒙古能源有限公司布连电厂, 内蒙古伊金霍洛旗 017209;
2. 浙江大学控制科学与工程学院, 浙江杭州 310027;
3. 烟台龙源电力技术股份有限公司, 山东烟台 264006

收稿日期:2017-12-01 修回日期:2018-03-11 出版日期:2018-07-05 发布日期:2018-07-31
作者简介:蔡利军(1968-),男,高级工程师,从事火电厂热能动力专业研究,E-mail:cailjazb@163.com;朱豫才(1960-),男,教授,从事系统辨识、过程控制与运行优化研究,E-mail:zhuyucai@zju.edu.cn
基金资助:
国家重点研发计划项目（2017YFA0700303）；国家自然科学基金资助项目（61273191）。

MPC Applications in AGC CCS and Steam Temperature Control on Two Ultra-supercritical Coal-fired Power Generation Units

CAI Lijun¹, ZHU Yucai², LV Xia³, WU Zhen¹, JIANG Pengfei², ZHAO Chao³, ZHANG Kangkang², GAO Xing¹

1. Inner Mongolian Bulian Power Plant, China Guodian Corporation, Ejin Horo Banner 017209, China;
2. College of Control Science and Technology, Zhejiang University, Hangzhou 310027, China;
3. Yantai Longyuan Electrical Power Technology Limited, Yantai 264006, China

Received:2017-12-01 Revised:2018-03-11 Online:2018-07-05 Published:2018-07-31
Supported by:
This work is supported by the National Key Research and Development Program (No. 2017YFA0700303) and National Natural Science Foundation of China (No.61273191).

摘要/Abstract

摘要： 在介绍模型预测控制（MPC）的基础上，提出了基于MPC的协调控制与主蒸汽温度控制方案，并应用于两台660MW超超临界燃煤发电机组。MPC控制效果与原PID控制效果的对比表明，采用MPC控制，负荷控制精度提高，主蒸汽压力偏差减小，变负荷速率提升，最大发电功率增加。该MPC系统已成功运行10个月，机组的电网两个细则考核指标得到很大提高，K_p值从1.5分别提升到2.8和3.5，排名从当地电网中间升为电网第二。

关键词: 燃煤电厂, 协调控制, 主蒸汽温度控制, MPC, 闭环辨识

Abstract: In this paper, based on the introduced model predictive control (MPC) technology, the scheme of MPC-based coordinated control system (CCS) and main steam temperature control system is proposed and applied on two ultra-supercritical coal fired power generation units. The comparison between the results of MPC- and PID-based controls shows that the MPC controller can increase the load control accuracy, load variation rate as well as the unit maximum generation, and lower the control error of main steam pressure. The MPC system has been successfully in operation for ten months, which makes the power grid evaluation scores of the two units to be improved considerably, that is, the K_p values have been increased from 1.5 to 2.8 and 3.5 respectively; the rank of the power plant has been increased from medium level to the second (out of 47 power plants) in the local power grid.

Key words: coal fired power plant, coordinated control system (CCS), main steam temperature control, model predictive control (MPC), closed-loop identification

中图分类号:

TK223.7

蔡利军, 朱豫才, 吕霞, 吴真, 蒋鹏飞, 赵超, 张抗抗, 高兴. 模型预测控制在超超临界机组AGC协调控制和主汽温控制中的应用[J]. 中国电力, 2018, 51(7): 68-77.

CAI Lijun, ZHU Yucai, LV Xia, WU Zhen, JIANG Pengfei, ZHAO Chao, ZHANG Kangkang, GAO Xing. MPC Applications in AGC CCS and Steam Temperature Control on Two Ultra-supercritical Coal-fired Power Generation Units[J]. Electric Power, 2018, 51(7): 68-77.

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模型预测控制在超超临界机组AGC协调控制和主汽温控制中的应用

MPC Applications in AGC CCS and Steam Temperature Control on Two Ultra-supercritical Coal-fired Power Generation Units

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模型预测控制在超超临界机组AGC协调控制和主汽温控制中的应用

MPC Applications in AGC CCS and Steam Temperature Control on Two Ultra-supercritical Coal-fired Power Generation Units

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