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1. 华北电力大学控制与计算机工程学院,北京 102206
2. 国网浙江省电力有限公司电力科学研究院,浙江 杭州 310014
3. 润电能源科学技术有限公司,河南 郑州 450018
[ "侯国莲(1966- ),女,博士,华北电力大学控制与计算机工程学院教授、博士生导师,主要研究方向为先进控制理论在过程控制中的应用、发电过程建模与控制。" ]
[ "弓林娟(1994- ),女,华北电力大学控制与计算机工程学院博士生,主要研究方向为发电过程建模与控制。" ]
[ "苏烨(1979- ),男,国网浙江省电力有限公司电力科学研究院高级工程师,主要从事发电厂热工自动化技术研究和试验工作。" ]
[ "唐耀华(1977- ),男,博士,润电能源科学技术有限公司高级工程师,主要从事常规电源网源协调、电力数据挖掘技术研究工作。" ]
网络出版日期:2019-09,
纸质出版日期:2019-09-20
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侯国莲, 弓林娟, 苏烨, 等. 基于ACP的平行发电控制系统[J]. 智能科学与技术学报, 2019,1(3):269-279.
Guolian HOU, Linjuan GONG, Ye SU, et al. ACP based parallel power generation control system[J]. Chinese journal of intelligent science and technology, 2019, 1(3): 269-279.
侯国莲, 弓林娟, 苏烨, 等. 基于ACP的平行发电控制系统[J]. 智能科学与技术学报, 2019,1(3):269-279. DOI: 10.11959/j.issn.2096-6652.201927.
Guolian HOU, Linjuan GONG, Ye SU, et al. ACP based parallel power generation control system[J]. Chinese journal of intelligent science and technology, 2019, 1(3): 269-279. DOI: 10.11959/j.issn.2096-6652.201927.
发电侧控制是整个电网稳定运行的基础,而现有的控制方法已不能满足能源、环境以及人类社会等对发电侧日益增长的需求。为保证发电过程的安全性、高效性和环境友好性,提出了基于 ACP 方法的平行发电控制系统理论。首先,构建与实际物理发电控制系统等价的人工发电控制系统;接下来通过人工发电控制系统的计算实验,选择最优被控对象模型及其对应的控制策略来对物理控制系统的运行进行引导,并对其行为进行评估,使其逐渐趋近人工控制系统;然后,通过发电过程中物理控制系统和人工控制系统的平行执行,确保发电侧的运行稳定性,并实现其效率最大化,同时,最大限度地降低能耗;最后,以联合循环电厂的燃机控制系统的平行控制为例,验证了基于ACP的平行发电控制的可行性及其显著优势。
The power generation side control is the foundation of stable operation of power grid.However
the existing control methods cannot meet the growing demands of energy
environment
and human society to the power generation process.Therefore
the theory of ACP based parallel power generation control system was presented for the safety
high efficiency as well as environmental friendliness of power generation process.At first
the artificial power generation control system which is equivalent to the physical power generation control system was constructed.Secondly
the optimal model of power plant and its corresponding control strategy were chosen through the computational experiments of artificial control system to guide the operation of physical control system.Meanwhile
the behaviors of physical system were assessed for the approaching of artificial system.Then
the stable operation
maximum efficiency
and minimum energy consumption were achieved with the parallel execution of artificial control system and physical control system.Finally
the parallel control of gas turbine system in combined cycle power plant was taken as an example to demonstrate the feasibility and remarkable advantages of the adopted method.
刘自发 , 张在宝 , 杨滨 , 等 . 电网大停电社会综合损失评估 [J ] . 电网技术 , 2017 , 41 ( 9 ): 2928 - 2938 .
LIU Z F , ZHANG Z B , YANG B , et al . Evaluation of great blackout social comprehensive loss of power grid [J ] . Power System Technology , 2017 , 41 ( 9 ): 2928 - 2938 .
HOU G L , GONG L J , HUANG C Z , et al . Novel fuzzy modeling and energy-saving predictive control of coordinated control system in 1000 MW ultra-supercritical unit [J ] . ISA Transactions , 2019 , 86 : 48 - 61 .
牛培峰 , 马云鹏 , 张欣欣 , 等 . 基于人工智能技术的火电厂燃煤锅炉智能燃烧优化研究及应用 [J ] . 智能科学与技术学报 , 2019 , 1 ( 2 ): 163 - 170 .
NIU P F , MA Y P , ZHANG X X , et al . Research and application on combustion optimization of coal-fired boiler in thermal power plant based on artificial intelligence technology [J ] . Chinese Journal of Intelligent Science and Technology , 2019 , 1 ( 2 ): 163 - 170 .
李浩亮 , 杨任农 , 李秋妮 , 等 . 基于分布式 PID 控制的任意阶线性多智能体系统的一致性 [J ] . 控制与决策 , 2017 , 32 ( 5 ): 899 - 905 .
LI H L , YANG R N , LI Q N , et al . Consensus of multi-agent systems with general linear dynamics based on distributed PID control [J ] . Control and Decision , 2017 , 32 ( 5 ): 899 - 905 .
刘志远 , 吕剑虹 , 陈来九 . 智能 PID 控制器在电厂热工过程控制中的应用前景 [J ] . 中国电机工程学报 , 2002 , 22 ( 8 ): 128 - 134 .
LIU Z Y , LYU J H , CHEN L J . Prospects of application of intelligent PID controller in power plant thermal process control [J ] . Proceedings of the CSEE , 2002 , 22 ( 8 ): 128 - 134 .
寇攀高 , 周建中 , 何耀耀 , 等 . 基于菌群—粒子群算法的水轮发电机组 PID 调速器参数优化 [J ] . 中国电机工程学报 , 2009 ( 26 ): 101 - 106 .
KOU P G , ZHOU J Z , HE Y Y , et al . Optimal PID governor tuning of hydraulic turbine generators with bacterial foraging particle swarm optimization algorithm [J ] . Proceedings of the CSEE , 2009 ( 26 ): 101 - 106 .
陈杰 , 陈冉 , 陈家伟 , 等 . 变速风力发电机组的模糊—单神经元PID 控制 [J ] . 中国电机工程学报 , 2011 , 31 ( 27 ): 88 - 94 .
CHEN J , CHEN R , CHEN J W , et al . Fuzzy single-neuron PID control of variable-speed wind turbines [J ] . Proceedings of the CSEE , 2011 , 31 ( 27 ): 88 - 94 .
韩京清 . 从 PID 技术到 “自抗扰控制” 技术 [J ] . 控制工程 , 2002 , 9 ( 3 ): 13 - 18 .
HAN J Q . From PID technique to active disturbances rejection control technique [J ] . Control Engineering of China , 2002 , 9 ( 3 ): 13 - 18 .
李向阳 , 哀薇 , 田森平 . 惯性串联系统的自抗扰控制 [J ] . 自动化学报 , 2018 , 44 ( 3 ): 562 - 568 .
LI X Y , AI W , TIAN S P . Active disturbance rejection control of cascade inertia systems [J ] . Acta Automatica Sinica , 2018 , 44 ( 3 ): 562 - 568 .
马燕峰 , 蒋云涛 , 陈磊 , 等 . 光伏电站自抗扰附加阻尼控制抑制低频振荡策略研究 [J ] . 电网技术 , 2017 , 41 ( 6 ): 1741 - 1747 .
MA Y F , JIANG Y T , CHEN L , et al . An ADRC additional damping control strategy research on low frequency oscillation suppression of photovoltaic plants [J ] . Power System Technology , 2017 , 41 ( 6 ): 1741 - 1747 .
高本锋 , 姚磊 . 基于改进自抗扰控制的抑制光火打捆经直流送出系统的次同步振荡策略 [J ] . 电网技术 , 2018 , 42 ( 2 ): 533 - 540 .
GAO B F , YAO L . Sub-synchronous oscillation suppression for photovoltaic-thermal-bundled power system based on improved active disturbance rejection control [J ] . Power System Technology , 2018 , 42 ( 2 ): 533 - 540 .
房方 , 李荣丽 , 刘吉臻 . 基于多变量内模结构的循环流化床锅炉床温自抗扰控制 [J ] . 中国电机工程学报 , 2017 ( 1 ): 172 - 181 .
FANG F , LI R L , LIU J Z . Active disturbance rejection control for bed temperature of circulating fluidized bed boiler based on multivariable internal model structure [J ] . Proceedings of the CSEE , 2017 ( 1 ): 172 - 181 .
WU D F , REN F K , QIAO L , et al . Active disturbance rejection controller design for dynamically positioned vessels based on adaptive hybrid biogeography-based optimization and differential evolution [J ] . ISA Transactions , 2018 , 78 : 56 - 65 .
XIA Y Q , FU M Y , LI C M , et al . Active disturbance rejection control for active suspension system of tracked vehicles with gun [J ] . IEEE Transactions on Industrial Electronics , 2018 , 65 ( 5 ): 4051 - 4060 .
马书根 , 赵珈靓 , 任超 . 基于无源性的全方位移动机器人自抗扰控制 [J ] . 控制与决策 , 2018 , 33 ( 6 ): 1081 - 1086 .
MA S G , ZHAO J L , REN C . Passivity-based active disturbance rejection control of an omni-directional mobile robot [J ] . Control and Decision , 2018 , 33 ( 6 ): 1081 - 1086 .
OSORIO R , ALONSO J M,VÁZQUEZ N , et al . Fuzzy logic control with an improved algorithm for integrated LED drivers [J ] . IEEE Transactions on Industrial Electronics , 2018 , 65 ( 9 ): 6994 - 7003 .
焦李成 , 杨淑媛 , 刘芳 , 等 . 神经网络七十年:回顾与展望 [J ] . 计算机学报 , 2016 , 39 ( 8 ): 1697 - 1716 .
JIAO L C , YANG S Y , LIU F , et al . Seventy years beyond neural networks:retrospect and prospect [J ] . Chinese Journal of Computers , 2016 , 39 ( 8 ): 1697 - 1716 .
陈启宏 , 罗潇汝 , 张立炎 . 三相四桥臂并网逆变器约束模型预测控制 [J ] . 电网技术 , 2018 , 42 ( 2 ): 555 - 563 .
CHEN Q H , LU X R , ZHANG L Y . Constrained model predictive control for three-phase four-leg grid-tied inverter [J ] . Power System Technology , 2018 , 42 ( 2 ): 555 - 563 .
DAI L , XIA Y Q , GAO Y L , et al . Distributed stochastic MPC of linear systems with additive uncertainty and coupled probabilistic constraints [J ] . IEEE Transactions on Automatic Control , 2017 , 62 ( 7 ): 3474 - 3481 .
ZHANG S R , MAO W . Optimal operation of coal conveying systems assembled with crushers using model predictive control methodology [J ] . Applied Energy , 2017 , 198 : 65 - 76 .
TIAN Z , YUAN J Q , ZHANG X , et al . Modeling and sliding mode predictive control of the ultra-supercritical boiler-turbine system with uncertainties and input constraints [J ] . ISA Transactions , 2018 , 76 : 43 - 56 .
ZHANG F , WU X , SHEN J . Extended state observer based fuzzy model predictive control for ultra-supercritical boiler-turbine unit [J ] . Applied Thermal Engineering , 2017 , 118 : 90 - 100 .
王飞跃 , 孙奇 , 江国进 , 等 . 核能 5.0:智能时代的核电工业新形态与体系架构 [J ] . 自动化学报 , 2018 , 44 ( 5 ): 922 - 934 .
WANG F Y , SUN Q , JIANG G J , et al . Nuclear energy 5.0:new formation and system architecture of nuclear power industry in the new IT era [J ] . Acta Automatica Sinica , 2018 , 44 ( 5 ): 922 - 934 .
吕宜生 , 陈圆圆 , 金峻臣 , 等 . 平行交通:虚实互动的智能交通管理与控制 [J ] . 智能科学与技术学报 , 2019 , 1 ( 1 ): 21 - 33 .
LYU Y S , CHEN Y Y , JIN J C , et al . Parallel transportation:virtual-real interaction for intelligent traffic management and control [J ] . Chinese Journal of Intelligent Science and Technology , 2019 , 1 ( 1 ): 21 - 33 .
王迎春 , 韩双双 , 胡成云 , 等 . 基于 ACP 方法的平行手机信令数据分析系统 [J ] . 自动化学报 , 2019 , 45 ( 5 ): 866 - 876 .
WANG Y C , HAN S S , HU C Y , et al . Mobile phone signaling data analysis system based on ACP approach [J ] . Acta Automatica Sinica , 2019 , 45 ( 5 ): 866 - 876 .
刘腾 , 王晓 , 邢阳 , 等 . 基于数字四胞胎的平行驾驶系统及应用 [J ] . 智能科学与技术学报 , 2019 , 1 ( 1 ): 40 - 51 .
LIU T , WANG X , XING Y , et al . Research on digital quadruplets in cyber-physical-social space-based parallel driving [J ] . Chinese Journal of Intelligent Science and Technology , 2019 , 1 ( 1 ): 40 - 51 .
王飞跃 , 张梅 , 孟祥冰 , 等 . 平行手术:基于 ACP 的智能手术计算方法 [J ] . 模式识别与人工智能 , 2017 , 30 ( 11 ): 961 - 970 .
WANG F Y , ZHANG M , MENG X B , et al . Parallel surgery:an ACP-based approach for intelligent operations [J ] . Pattern Recognition and Artificial Intelligence , 2017 , 30 ( 11 ): 961 - 970 .
秦蕊 , 曾帅 , 李娟娟 , 等 . 基于深度强化学习的平行企业资源计划 [J ] . 自动化学报 , 2017 , 43 ( 9 ): 1588 - 1596 .
QIN R , ZENG S , LI J J , et al . Parallel enterprises resource planning by deep reinforcement learning [J ] . Acta Automatica Sinica , 2017 , 43 ( 9 ): 1588 - 1596 .
尹培丽 , 王建华 , 陈阳泉 , 等 . 平行测量:复杂测量系统的一个新型理论框架及案例研究 [J ] . 自动化学报 , 2018 , 44 ( 3 ): 425 - 433 .
YIN P L , WANG J H , CHEN Y Q , et al . Parallel measurements:a new theory and framework for complex measurement system and a case study [J ] . Acta Automatica Sinica , 2018 , 44 ( 3 ): 425 - 433 .
康孟珍 , 王秀娟 , 华净 , 等 . 平行农业:迈向智慧农业的智能技术 [J ] . 智能科学与技术学报 , 2019 , 1 ( 2 ): 107 - 117 .
KANG M Z , WANG X J , HUA J , et al . Parallel agriculture:intelligent technology toward smart agriculture [J ] . Chinese Journal of Intelligent Science and Technology , 2019 , 1 ( 2 ): 107 - 117 .
刘烁 , 王帅 , 孟庆振 , 等 . 基于 ACP 行为动力学的犯罪主体行为平行建模分析 [J ] . 自动化学报 , 2018 , 44 ( 2 ): 251 - 261 .
LIU S , WANG S , MENG Q Z , et al . Parallel modeling of criminal subjects behavior based on ACP behavioral dynamics [J ] . Acta Automatica Sinica , 2018 , 44 ( 2 ): 251 - 261 .
沈大勇 , 王晓 , 刘胜 . 平行装卸:迈向智慧物流的智能技术 [J ] . 智能科学与技术学报 , 2019 , 1 ( 1 ): 34 - 39 .
SHEN D Y , WANG X , LIU S . Parallel loading and unloading:smart technology toward intelligent logistics [J ] . Chinese Journal of Intelligent Science and Technology , 2019 , 1 ( 1 ): 34 - 39 .
HOU G L , YANG Y , JIANG Z , et al . A new approach of modeling an ultra-super-critical power plant for performance improvement [J ] . Energies , 2016 , 9 ( 5 ):310.
姚骏 , 刘瑞阔 , 尹潇 . 永磁同步电机三矢量低开关频率模型预测控制研究 [J ] . 电工技术学报 , 2018 , 33 ( 13 ): 2935 - 2945 .
YAO J , LIU R K , YIN X . Research on 3-vector model predictive control with low switching frequency of permanent magnet synchronous motor [J ] . Transactions of China Electrotechnical Society , 2018 , 33 ( 13 ): 2935 - 2945 .
LIU H , WU H P , LI Y F . Smart wind speed forecasting using EWT decomposition,GWO evolutionary optimization,RELM learning and IEWT reconstruction [J ] . Energy Conversion and Management , 2018 , 161 : 266 - 283 .
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