有机朗肯循环余热利用系统的多模型预测控制

doi:10.16182/j.issn1004731x.joss.201711030

系统仿真学报 ›› 2017, Vol. 29 ›› Issue (11): 2811-2819.doi: 10.16182/j.issn1004731x.joss.201711030

有机朗肯循环余热利用系统的多模型预测控制

韩璞, 张婷

华北电力大学河北省发电过程仿真与优化控制工程技术研究中心,保定 071003

收稿日期:2017-01-06 发布日期:2020-06-05
作者简介:韩璞 (1959-2017), 男, 河北, 本科, 教授,博导, 研究方向为智能控制理论及应用, 网络化控制技术与系统, 火电站节能减排优化运行技术等。
基金资助:
国家自然科学基金(61773160),中央高校基本科研业务费专项资金(2014XS45)

Multiple Model Predictive Control of Waste Heat Recovery Systems based on Organic Rankine Cycle

Han Pu, Zhang Ting

Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation (North China Electric Power University), Baoding 071003, China

Received:2017-01-06 Published:2020-06-05

摘要/Abstract

摘要： 针对有机朗肯循环(Organic Rankine Cycle,ORC)余热利用系统大范围运行工况(膨胀机转矩${{F}_{exp}}\in [20,35]$ N·m,工质泵转速${{R}_{pp}}\in [300,550]$ r/min)的控制问题,提出基于线性离线多模型的多模型预测控制策略。对ORC实际运行过程中的不同工况进行基于离线线性模型的预测控制器设计。综合考虑当前时刻系统输出残差与输出残差累积值,设计切换策略,对不同运行工况下的子控制器进行切换。设计仿真实验对该算法在大范围运行工况的ORC系统上的控制效果进行验证。结果表明,多模型预测控制能够适用于大范围运行工况的ORC系统,并取得良好的控制效果。

关键词: 有机朗肯循环, 余热利用系统, 大范围工况, 多模型预测控制

Abstract: A multiple model predictive control strategy based on offline linear model is proposed for controlling the ORC-based WHRSs (waste heat recovery systems). The proposed control strategy is described for a wide operation region of the ORC system. A switching mechanism considering both instant output errors of each model and error accumulation is applied for the switch of local controllers in different operation regimes. Simulation results demonstrate that the proposed method can effectively regulate the evaporating pressure and the superheating temperature for the ORC-based WHRS throughout a wide operation region.

Key words: ORC, waste heat recovery system, wide operation region, multiple model predictive control

中图分类号:

TP13

韩璞, 张婷. 有机朗肯循环余热利用系统的多模型预测控制[J]. 系统仿真学报, 2017, 29(11): 2811-2819.

Han Pu, Zhang Ting. Multiple Model Predictive Control of Waste Heat Recovery Systems based on Organic Rankine Cycle[J]. Journal of System Simulation, 2017, 29(11): 2811-2819.

参考文献

[1] 苗政, 杨绪飞, 徐进良, 等. 有机朗肯循环系统动态特性[J]. 科学通报, 2014, 59(28/29): 2764-2775.
Miao Zheng, Yang Xufei, Xu Jinliang, et al.Development and Dynamic Characteristics of an Organic Rankine Cycle[J]. Chinese Science Bulletin, 2014, 59(28/29): 2764-2775.
[2] Hung T C, Shai T Y, Wang S K.A Review of Organic Rankine Cycles (ORCs) for the Recovery of Low-grade Waste Heat[J]. Energy (S0360-5442), 1997, 22(7): 661-667.
[3] Xu J, Liu C.Effect of the Critical Temperature of Organic Fluids on Supercritical Pressure Organic Rankine Cycles[J]. Energy (S0360-5442), 2013, 63: 109-122.
[4] Chen H, Goswami D Y, Stefanakos E K.A Review of Thermodynamic Cycles and Working Fluids for the Conversion of Low-grade Heat[J]. Renewable and Sustainable Energy Reviews (S1364-0321), 2010, 14(9): 3059-3067.
[5] Drescher U, Brüggemann D.Fluid Selection for the Organic Rankine Cycle (ORC) in Biomass Power and Heat Plants[J]. Applied Thermal Engineering (S1359-4311), 2007, 27(1): 223-228.
[6] Bao J, Zhao L.A Review of Working Fluid and Expander Selections for Organic Rankine Cycle[J]. Renewable and Sustainable Energy Reviews (S1364-0321), 2013, 24: 325-342.
[7] 赵力, 黄炜. 动态热源的车载有机朗肯循环系统特性分析[J]. 系统仿真学报, 2016, 28(1): 1-7.
Zhao Li, Huang Wei.Respond Performance to Dynamic Heat Resource of Organic Rankine Cycle for Waste Heat Recovery on Vehicle[J]. Journal of System Simulation, 2016, 28(1): 1-7.
[8] 张建华, 林明明, 史斐, 等. 有机朗肯循环控制系统的设定值优化[J]. 科学通报, 2014, 59(28/29): 2792-2798. doi:10.1007/s11434-014-0590-1.
Zhang J H, Lin M M, Shi F, et al.Set point optimization of controlled organic Rankine cycle systems[J]. Chinese Science Bulletin 2014, 59(28/29): 2792-2798.
[9] Esposito MC, Pompini N, Gambarotta A, et al.Nonlinear Model Predictive Control of an Organic Rankine Cycle for Exhaust Waste Heat Recovery in Automotive Engines[J]. IFAC- PapersOnLine (S2405-8963), 2015, 48(15): 411-418.
[10] Zhang J, Zhou Y, Wang R, et al.Modeling and Constrained Multivariable Predictive Control for ORC (Organic Rankine Cycle) based Waste Heat Energy Conversion Systems[J]. Energy (S0360-5442), 2014, 66: 128-138.
[11] Hou G, Bi S, Lin M, et al.Minimum Variance Control of Organic Rankine Cycle based Waste Heat Recovery[J]. Energy Conversion and Management (S0196-8904), 2014, 86: 576-586.
[12] Zhang J, Zhou Y, Li Y, et al.Generalized Predictive Control Applied in Waste Heat Recovery Power Plants[J]. Applied Energy (S0306-2619), 2013, 102: 320-326.
[13] J Peralez, P Tona, Lepreux O. Improving the Control Performance of an Organic Rankine Cycle System for Waste Heat Recovery from a Heavy-Duty Diesel Engine using a Model-Based Approach[D]. 52nd IEEE Conference on Decision and Control, 2013: 6830-6836.
[14] F Padula, R Sandrini, Cominardi G. Adaptive PI Control of an Organic Rankine Cycle Power Plant[D]. IFAC Conference on Advances in PID Control, 2012: 459-464.
[15] Quoilin S, Aumann R, Grill A, et al.Dynamic Modeling and Optimal Control Strategy of Waste Heat Recovery Organic Rankine Cycles[J]. Applied Energy (S 0306-2619), 2011, 88(6): 2183-2190.
[16] Vélez F, Segovia J J, Martín M C, et al.A Technical, Economical and Market Review of Organic Rankine Cycles for the Conversion of Low-grade Heat for Power Generation[J]. Renewable and Sustainable Energy Reviews (S1364-0321), 2012, 16(6): 4175-4189.
[17] Ning LI, Shao-Yuan LI, Yu-Geng XI.Multiple Model Predictive Control for MIMO Systems[J]. Acta Automatic Sinica (S0254-4156), 2003, 29(4): 516-523.

有机朗肯循环余热利用系统的多模型预测控制

Multiple Model Predictive Control of Waste Heat Recovery Systems based on Organic Rankine Cycle

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