基于粒子群算法的二次再热机组参数优化分析

doi:10.16182/j.issn1004731x.joss.17-9150

系统仿真学报 ›› 2019, Vol. 31 ›› Issue (4): 710-719.doi: 10.16182/j.issn1004731x.joss.17-9150

基于粒子群算法的二次再热机组参数优化分析

付文锋¹, 陈海文¹, 王蓝婧^2,*

1.华北电力大学电站设备状态监测与控制教育部重点实验室,河北保定 071003;
2.华北电力大学控制与计算机工程学院,河北保定 071003

收稿日期:2017-12-05 修回日期:2018-04-08 出版日期:2019-04-08 发布日期:2019-11-20
作者简介:付文锋(1982-),男,河北,博士,讲师,研究方向为电站热力系统优化; 陈海文（1994-）,男,宁夏,硕士生,研究方向为电站热力系统优化;王蓝婧（通讯作者1982-）,女,河北,硕士,讲师,研究方向为电站设备仿真与节能优化。
基金资助:
国家自然科学基金(51606066), 中央高校基本科研业务费专项资金(2017MS117, 2018MS077)

Parameter Optimization Analysis for Double Reheat Units Based on Particle Swarm Optimization

Fu Wenfeng¹, Chen Haiwen¹, Wang Lanjing^2,*

1.North China Electric Power University, Key Laboratory of Condition Monitoring and Control for Power Plant Equipment, Baoding 071003, China;
2.School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, China

Received:2017-12-05 Revised:2018-04-08 Online:2019-04-08 Published:2019-11-20

摘要/Abstract

摘要： 针对二次再热超超临界机组,建立了热力系统参数优化模型。以某660 MW机组为例,应用粒子群算法,计算分析了给水焓升分配、给水温度、再热压力、回热级数和主蒸汽参数对提高机组热经济性的贡献。结果表明：通过热力系统接口参数优化,机组热效率仍有较大的提升潜力;二次再热压力比一次再热压力对机组热效率的影响更大;选择增加低压加热器对机组热效率的提升效果更显著;最佳给水温度主要随初压的升高而升高,主蒸汽温度和再热蒸汽温度对最佳给水温度的作用趋势相反。

关键词: 二次再热, 超超临界, 热力系统, 参数优化

Abstract: The thermodynamic system parameter optimization was established for double reheat ultra-supercritical units. Taking a 660MW unit as an example, some vital parameters including feedwater enthalpy rise distribution, feedwater temperature, reheat steam pressure, number of feedwater heaters and main steam parameter were analyzed based on particle swarm optimization. The result shows the unit thermal efficiency can be further improved by optimizing apparatus interface parameters. The second reheat pressure has more influence on the unit thermal efficiency than the first reheat pressure. When adding the number of feedwater heaters, low pressure heater is a better choice for improving unit thermal efficiency. Optimum feedwater temperature increases with the increase of main steam pressure. The changes of main steam temperature and reheat steam temperature have opposite effects on optimum feedwater temperature.

Key words: double reheat, ultra-supercritical, thermodynamic system, parameter optimization

中图分类号:

TK284.1

付文锋, 陈海文, 王蓝婧. 基于粒子群算法的二次再热机组参数优化分析[J]. 系统仿真学报, 2019, 31(4): 710-719.

Fu Wenfeng, Chen Haiwen, Wang Lanjing. Parameter Optimization Analysis for Double Reheat Units Based on Particle Swarm Optimization[J]. Journal of System Simulation, 2019, 31(4): 710-719.

参考文献

[1] 徐炯, 周一工. 700 ℃高效超超临界火力发电技术发展的概述[J]. 上海电气技术, 2012, 5(2): 50-54.
Xu Jiong, Zhou Yigong.Overview of the Development of 700 ℃ USC Technique[J]. Journal of Shanghai Electric Technology, 2012, 5(2): 50-54.
[2] 付文锋, 石宇, 李嘉华, 等. 1 000 MW超超临界二次再热机组外置式蒸汽冷却器布置方式研究[J]. 动力工程学报, 2017, 37(6): 489-494.
Fu Wenfeng, Shi Yu, Li Jiahua, et al.Arrangement of Outer Steam Coolers for a 1 000 MW Double Reheat Ultra-supercritical Unit[J]. Journal of Chinese Society of Power Engineering, 2017, 37(6): 489-494.
[3] 严俊杰, 邵树峰, 李杨, 等. 二次再热超临界机组热力系统经济性定量分析方法[J]. 中国电机工程学报, 2004, 24(1): 186-190.
Yan Junjie, Shao Shufeng, Li Yang, et al.Method for analysis the economics of a thermal system in a supercritical pressure power unit with double reheat cycles[J]. Proceedings of the CSEE, 2004, 24(1): 186-190.
[4] 李运泽, 杨献勇, 严俊杰, 等. 二次再热超临界机组热力系统的三系数线性分析法[J]. 中国电机工程学报, 2002, 22(6): 132-136.
Li Yunze, Yang Xianyong, Yan Junjie, et al.Linear method for the thermal economical analysis of supercritical pressure power plant with double reheat[J]. Proceedings of the CSEE, 2002, 22(6): 132-136.
[5] DYKAS S, RULIK S, STĘPCZYŃSKA K. Thermodynamic and economic analysis of a 900 MW ultra-supercritical power unit[J]. Archives of thermodynamics (S2083-6023), 2011, 32(3): 231-244.
[6] UST Y, GONCA G, KAYADELEN H K.Determination of optimum reheat pressures for single and double reheat irreversible Rankine cycle[J]. Journal of the Energy Institute (S1743-9671), 2011, 84(4): 215-219.
[7] RETZLAFF K M, Ruegger W A.Steam turbines for ultrasupercritical power plants[J]. Power (S0032-5929), 1996, 98(1): 9-11.
[8] KJAER S, DRINHAUS F.A modified double reheat cycle[C]//ASME 2010 Power Conference. American Society of Mechanical Engineers, Chicago, 2010: 285-293.
[9] BLUM R, BUGGE J, KJAER S.AD700 innovations pave the way for 53 percent efficiency[J]. Modern power systems (S2196-5625), 2008, 28(11): 15-19.
[10] PLOUMEN P, STIENSTRA G, KAMPHUIS H.Reduction of CO2 emissions of coal fired power plants by optimizing steam water cycle[J]. Energy Procedia (S1876-6102), 2011, 4(1): 2074-2081.
[11] RASHIDI M M, AGHAGOLI A, ALI M.Thermodynamic Analysis of a Steam Power Plant with Double Reheat and Feed Water Heaters[J]. Advances in Mechanical Engineering (S1687-8140), 2014(2): 131-137.
[12] LI Y, ZHOU L, XU G, et al.Thermodynamic analysis and optimization of a double reheat system in an ultra-supercritical power plant[J]. Energy (S0360-5442), 2014, 74(2): 202-214.
[13] WANG L, YANG Y, DONG C, et al.Parametric optimization of supercritical coal-fired power plants by MINLP and differential evolution[J]. Energy Conversion and Management (S0196-8904), 2014, 85(9): 828-838.
[14] 付文锋, 侯艳峰, 王蓝婧, 等. 基于自适应粒子群算法的燃煤-捕碳机组热力系统优化设计[J]. 动力工程学报, 2016, 36(9): 746-752.
Fu Wenfeng, Hou Yanfeng, Wang Lanjing, et al.Optimized design for thermodynamic system of coal-fired power plants with CO2 capture based on AWPSO algorithm[J]. Journal of Chinese Society of Power Engineering, 2016, 36(9): 746-752.
[15] 付文锋, 李飞, 邵明巍, 等. 基于PSO的光煤互补机组回热系统优化设计[J]. 太阳能学报, 2016, 37(2): 421-429.
Fu Wenfeng,Li Fei,Shao Mingwei,et al.Optimization and design of heat recovery system for solar and coal-fired hybrid power generation system based on PSO[J]. Acta Energiae Solaris Sinica, 2016, 37(2): 421-429.
[16] 付文锋, 王蓝婧, 李飞, 等. 基于改进动态自适应粒子群优化算法的汽轮机组给水回热分配优化方法[J]. 动力工程学报, 2014, 34(8): 653-659.
Fu Wenfeng, Wang Lanjing, Li Fei, et al.Distribution optimization on feedwater enthalpy rise in steam turbine unit based on modified PSO algorithm[J]. Journal of Chinese Society of Power Engineering, 2014, 34(8): 653-659.
[17] FU W, YANG X, WANG L, et al.Feedwater Heating Allocation Optimization for Large Capacity Steam Turbine Unit Based on Particle Swarm Optimization[J]. Journal of Energy Resources Technology (S0195-0738), 2015, 137(4): 042005

基于粒子群算法的二次再热机组参数优化分析

Parameter Optimization Analysis for Double Reheat Units Based on Particle Swarm Optimization

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 11

编辑推荐

Metrics

本文评价

[1]	段绍米, 罗会龙, 刘海鹏. 人群搜索和樽海鞘群的混合算法优化PID参数[J]. 系统仿真学报, 2022, 34(6): 1230-1246.
[2]	王辉, 吕兴顺. 一种改进的萤火虫算法及在洗出优化中的应用[J]. 系统仿真学报, 2021, 33(2): 306-314.
[3]	邓涛, 李鑫. 基于模型预测控制的智能车辆避障跟踪仿真[J]. 系统仿真学报, 2020, 32(8): 1556-1566.
[4]	於万里, 王艳, 纪志成. 氨糖发酵过程建模与工艺参数优化研究[J]. 系统仿真学报, 2020, 32(10): 1895-1902.
[5]	陈斌, 王立文. 基于航班动态的飞机地面除冰装备数量优化[J]. 系统仿真学报, 2019, 31(4): 757-764.
[6]	张小平, 宋文浩, 朱红萍. Buck-Boost矩阵变换器主电路及控制参数多目标优化[J]. 系统仿真学报, 2018, 30(8): 3042-3049.
[7]	禹建丽, 黄鸿琦, 苗满香. 基于主成分分析与神经网络的多响应参数优化[J]. 系统仿真学报, 2018, 30(1): 176-184.
[8]	罗木生, 王宗杰, 葛文才. 吊放声纳搜潜参数正交试验设计与优化[J]. 系统仿真学报, 2017, 29(3): 669-675.
[9]	田亮, 刘芳, 刘鑫屏, 刘吉臻. 高速率变负荷模式下火电机组协调控制系统参数优化[J]. 系统仿真学报, 2015, 27(7): 1532-1540.
[10]	韦根原, 冯新强, 韩璞. 基于CQPSO算法的控制系统参数优化[J]. 系统仿真学报, 2015, 27(7): 1570-1576.
[11]	谷俊杰, 王鹏. 超超临界机组凝结水节流负荷调节的建模与仿真[J]. 系统仿真学报, 2015, 27(12): 2920-2926.