EN自适应容错跟踪控制在单元机组协调控制中的应用
Application of adaptive fault-tolerant tracking control in unit coordinated control
- 热力发电 2025年第11期 页码：98-106
- 作者机构：
- 作者简介：
- 基金信息：国家自然科学基金项目（52306004）~~
DOI：10.19666/j.rlfd.202501008
中图分类号：-
纸质出版：2025
- 稿件说明：
移动端阅览
华山, 陈刚, 范常浩, 等. 自适应容错跟踪控制在单元机组协调控制中的应用[J]. 热力发电, 2025,(11):98-106.
华山, 陈刚, 范常浩, et al. Application of adaptive fault-tolerant tracking control in unit coordinated control[J]. Thermal Power Generation, 2025, (11): 98-106.
华山, 陈刚, 范常浩, 等. 自适应容错跟踪控制在单元机组协调控制中的应用[J]. 热力发电, 2025,(11):98-106. DOI： 10.19666/j.rlfd.202501008.
华山, 陈刚, 范常浩, et al. Application of adaptive fault-tolerant tracking control in unit coordinated control[J]. Thermal Power Generation, 2025, (11): 98-106. DOI： 10.19666/j.rlfd.202501008.
摘要
现代电力系统中单元机组协调控制面临复杂的动态特性，同时受到故障及外部扰动的影响。对此，提出了一种针对故障条件下的单元机组协调容错控制方案。首先，基于机理分析法推导出单元机组传递函数，并建立了包含执行器故障的系统数学模型，以便分析系统的稳定性和动态性能（含瞬态响应）。其次，结合自适应技术与H_∞控制等理论，设计了一种基于自适应容错的保性能跟踪控制方法。该方法能够在系统发生故障时自动补偿受损信号，同时通过性能指标优化进一步提升系统的鲁棒性与容错能力，满足跟踪精度与动态响应的综合要求。最后，以300 MW单元机组协调控制系统为例进行仿真验证，结果表明，与传统容错控制方法相比，所提方法在动态跟踪性能、抗干扰能力以及故障恢复能力方面更具优势。该方法为电力系统单元机组的安全稳定运行提供了一种可靠的控制解决方案。
Abstract
关键词
Keywords
references
魏泓屹,卓振宇,张宁.中国电力系统碳达峰·碳中和转型路径优化与影响因素分析[J].电力系统自动化,2022, 46(19):1-12.WEI Hongyi, ZHUO Zhenyu, ZHANG Ning. Transition path optimization and influencing factor analysis of carbon emission peak and carbon neutrality for power system of China[J]. Automation of Electric Power Systems, 2022, 46(19):1-12.
李晖,刘栋,姚丹阳.面向碳达峰碳中和目标的我国电力系统发展研判[J].中国电机工程学报, 2021,41(18):6245-6259.LI Hui, LIU Dong, YAO Danyang. Analysis and reflection on the development of power system towards the goal of carbon emission peak and carbon neutrality[J].Proceedings of the CSEE, 2021, 41(18):6245-6259.
李玲,刘鑫屏.新能源大规模并网条件下火电机组深度调峰控制策略优化[J].中国电力, 2020, 53(1):155-161.LI Ling, LIU Xinping. Control strategy optimization for thermal power unit adapted to deep peak shaving for largescale new energy source integration[J]. Electric Power,2020, 53(1):155-161.
YIN S, ZHANG S, ANDREWS-SPEED P, et al.Economic and environmental effects of peak regulation using coal-fired power for the priority dispatch of wind power in China[J]. Journal of Cleaner Production, 2017,162:361-370.
洪烽,梁璐,逄亚蕾,等.基于自适应协同下垂的飞轮储能联合火电机组一次调频控制策略[J].热力发电,2023, 52(1):36-44.HONG Feng, LIANG Lu, PANG Yalei, et al. Primary frequency regulation of flywheel energy storage combined thermal power unit based on adaptive coordinated droop control[J]. Thermal Power Generation, 2023, 52(1):36-44.
袁桂丽,陆斯悦,房方.单元机组协调控制系统综合性能评价[J].动力工程学报, 2017, 37(11):895-902.YUAN Guili, LU Siyue, FANG Fang. Comprehensive performance assessment on coordinated control system of thermal power units[J]. Journal of Chinese Society of Power Engineering, 2017, 37(11):895-902.
王东风,韩璞,曾德良.单元机组协调控制系统发展和现状[J].中国电力, 2002, 35(11):69-73.WANG Dongfeng, HAN Pu, ZENG Deliang.Development and present status of unit coordinated control system[J]. Electric Power, 2002, 35(11):69-73.
张建华,史运涛,侯国莲,等.燃煤电厂协调控制系统故障诊断与容错控制应用研究[J].中国电机工程学报,2004, 24(8):178-182.ZHANG Jianhua, SHI Yuntao, HOU Guolian, et al.Research on fault diagnosis and fault tolerant control of the coordinate control system in coal-fired power plant[J].Proceedings of the CSEE, 2004, 24(8):178-182.
宣丽萍.单元机组协调控制系统控制策略研究[J].控制工程, 2010, 17(3):283-285.XUAN Liping. On control strategy for coordinated control system of generating unit[J]. Control Engineering of China, 2010, 17(3):283-285.
孙超,郭乃宇,严明蝶,等.改进自适应粒子群算法的PID参数优化[J].中国工程机械学报, 2023, 21(5):377-382.SUN Chao, GUO Naiyu, YAN Mingdie, et al. PID parameter optimization based on improved adaptive particle swarm optimization algorithm[J]. Chinese Journal of Construction Machinery, 2023, 21(5):377-382.
LI J, LI W. On-line PID parameters optimization control for wind power generation system based on genetic algorithm[J]. IEEE Access, 2020, 8:137094-137100.
孙灵芳,任栋,张玉恒,等.改进DRNN在单元机组协调控制系统参数整定中应用[J].电力自动化设备,2009, 29(8):106-109.SUN Lingfang, REN Dong, ZHANG Yuheng, et al.Application of modified DRNN algorithm in parameter adjusting of coordinated control system[J]. Electric Power Automation Equipment, 2009, 29(8):106-109.
王爱军,张磊洋,邢宝钦,等.单元机组协调控制系统模糊自适应控制研究[J].汽轮机技术, 2013, 55(1):21-24.WANG Aijun, ZHANG Leiyang, XING Baoqin, et al.Research on coordinated control system of power unit based on self-adaptive fuzzy control[J]. Turbine Technology, 2013, 55(1):21-24.
张晓宇,王天伟,李燕,等.火电机组燃烧系统智能综合优化控制研究[J].中国电机工程学报, 2019, 39(9):2544-2553.ZHANG Xiaoyu, WANG Tianwei, LI Yan, et al. Study of intelligent integrated optimization control of thermal power unit combustion system[J]. Proceedings of the CSEE, 2019, 39(9):2544-2553.
WEI Q, LU J, ZHOU T, et al. Event-triggered nearoptimal control of discrete-time constrained nonlinear systems with application to a boiler-turbine system[J].IEEE Transactions on Industrial Informatics, 2021, 18(6):3926-3935.
SCHMIDHUBER J. Deep learning in neural networks:an overview[J]. Neural Networks, 2015, 61:85-117.
刘吉臻,王庆华,张效宁,等.支撑我国能源转型的灵活燃煤发电新技术:燃煤耦合储能系统及智能控制系统[J].中国电机工程学报, 2024, 44(17):6855-6883.LIU Jizhen, WANG Qinghua, ZHANG Xiaoning, et al.Novel technologies of flexible coal-fired power generation to support China energy transition:coal-fired coupled energy storage system and smart control system[J]. Proceedings of the CSEE, 2024, 44(17):6855-6883.
于红霞.单元机组协调系统非线性控制策略研究[D].沈阳:东北大学, 2019:1.YU Hongxia. Nonlinear control strategy research for unit coordinate systems[D]. Shenyang:Northeastern University, 2019:1.
MA L, LEE K Y, WANG Z. Intelligent coordinated controller design for a 600 MW supercritical boiler unit based on expanded-structure neural network inverse models[J]. Control Engineering Practice, 2016,53:194-201.
CUI J, CHAI T, LIU X. Deep-neural-network-based economic model predictive control for ultrasupercritical power plant[J]. IEEE Transactions on Industrial Informatics, 2020, 16(9):5905-5913.
韩忠旭,黄焕袍,张智,等.基于状态观测器的状态反馈控制在300 MW单元机组协调控制系统中的应用[J].中国电力, 2004, 37(4):60-65.HAN Zhongxu, HUANG Huanpao, ZHANG Zhi, et al.Application of state feedback based on state observer in the coordinated control system of 300 MW unit[J].Electric Power, 2004, 37(4):60-65.
席嫣娜,王印松.一种基于自适应反演算法的火电单元机组协调控制策略[J].中国电机工程学报, 2018,38(7):2070-2081.XI Yanna, WANG Yinsong. A coordinated control strategy for thermal power generation units based on the adaptive backstepping method[J]. Proceedings of the CSEE, 2018, 38(7):2070-2081.
刘桂莲,张新昌,张长庚,等.单元机组协调系统的模型预测控制[J].电力系统保护与控制, 2014, 42(10):41-45.LIU Guilian, ZHANG Xinchang, ZHANG Changgeng,et al. Model predictive coordination control system for power unit[J]. Power System Protection and Control,2014, 42(10):41-45.
WEI L, FANG F. H∞-LQR-based coordinated control for large coal-fired boiler-turbine generation units[J]. IEEE Transactions on Industrial Electronics, 2016, 64(6):5212-5221.
ZHANG J, YANG D, ZHANG H, et al. Dynamic eventbased tracking control of boiler turbine systems with guaranteed performance[J]. IEEE Transactions on Automation Science and Engineering, 2024, 21(3):4272-4282.
刘吉臻.协调控制与给水全程控制[M].北京:水利电力出版社, 1995:1.LIU Jizhen. Coordinated control and full-process feedwater control[M]. Beijing:Water Resources and Electric Power Press, 1995:1.
俞立.鲁棒控制:线性矩阵不等式处理方法[M].北京:清华大学出版社, 2002:1.YU Li. Robust control:linear matrix inequality method[M]. Beijing:Tsinghua University Press, 2002:1.
0
浏览量
0
下载量
0
CSCD
- Meta-XML下载
- BibTeX下载
- Endnote下载
- RefMan 下载
- NoteExpress下载
- NoteFirst下载
关联资源
相关文章
相关作者
相关机构
AI问答- 技术支持由北京北大方正电子有限公司提供 京ICP备09064830号-19
京公网安备11010802024621 - 本系统建议在Chrome、 IE9+ 以上版本浏览器阅读本站内容，360浏览器请切换至极速模式
- Cookies帮助我们提供服务并提供个性化体验。使用本网站，即表示您同意我们使用Cookies