Finite Element Analysis and Optimization on the Dynamic Stress of the High-Temperature High-Pressure Steam-Water  Pipelines of Thermal Power Plants

doi:10.11930/j.issn.1004-9649.2016.01.033.04

Abstract

Abstract: To improve the security of the high-temperature high-pressure steam-water pipelines of thermal power plants, the theoretical study on the dynamic stress caused by vibrations and dynamic loads is conducted, and the spectrum analysis on the water hammer phenomenon is also studied to figure out the measures to decrease and optimize the dynamic stress. The water hammer phenomenon of the main steam pipe of a 600-MW power plant is used as the calculation object to compute the dynamic stress caused by the dynamic steam hammer loads through the establishment of the pipeline finite element model. The results show that the dynamic stress under dynamic steam hammer loads is much greater than the static stress of pipelines. The stress can be attenuated by controlling the pipeline vibrations actively, adding damper to decrease the effect of steam hammer and adjusting the inherent frequency of the pipelines to avoid the external excitation.

Key words: power plant, steam-water pipeline, dynamic stress, steam hammer

CLC Number:

TM621

ZHAO Xinghai, ZHAI Song. Finite Element Analysis and Optimization on the Dynamic Stress of the High-Temperature High-Pressure Steam-Water Pipelines of Thermal Power Plants[J]. Electric Power, 2016, 49(1): 33-36.

Add to citation manager EndNote|Ris|BibTeX

URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2016.01.033.04

https://www.electricpower.com.cn/EN/Y2016/V49/I1/33

References

[1] 林友新，窦洪，肖志前. 火力发电厂汽水管道应力验算与应用[J]. 广东电力，2005，18（5）：10-13.
LIN Youxin, DOU Hong, XIAO Zhiqian. Stress checking calculation of steam-water pipes in thermal power plants and its application [J]. Guangdong Electric Power, 2005, 18(5): 10-13.
[2] 王乐勤，何秋良. 管道系统振动分析与工程应用[J]. 流体机械，2002，30（10）：28-42.
WANG Leqin, HE Qiuliang. Reciprocating compressor pipeline vibration analysis and engineering application[J]. Fluid Machinery, 2002, 30(10): 28-42.
[3] 刑景伟，赵星海，辛国华. 电厂汽水管道振动原因分析及解决对策[J]. 能源研究与信息，2012，28（1）：18-23.
XING Jingwei, ZHAO Xinghai, XIN Guohua. Causes and control methods for power plant steam-water pipe vibration[J]. Energy Research and Information, 2012, 28(1): 18-23.
[4] 乔妍琦，张林凤，王国贵，等. 消除大型火电厂管道振动的研究[J]. 中国电力，2001，35（6）：10-13.
QIAO Yanqi, ZHANG Linfeng, WANG Guogui, et al. Elimination of piping vibration of large thermal power plant[J]. Electric Power, 2001, 35(6): 10-13.
[5] 康豫军，卫大为，安慧，等. 发电机组汽水管道振动特征及其治理[J]. 热力发电，2012，41（6）：62-68.
KANG Yujun, WEI Dawei, AN Hui, et al. Study on characteristics of vibration occurred in steam and water pipelines and remedy thereof [J]. Thermal Power Generation, 2012, 41(6)：62-68.
[6] 王致祥，梁志钊，孙国模，等. 管道应力分析与计算[M]. 北京：水利电力出版社，1983：36.
[7] 张乐川，胡训栋，李琳. 火力发电厂主要管道精确动态分析方法及应用[J]. 发电设备，2011，25（6）：402-407.
ZHANG Lechuan, HU Xundong, LI Lin. Application of precise dynamic analytics to major pipeline system of fossil-fired power plants [J]. Power Equipment, 2011, 25(6): 402-407.
[8] 周云龙，洪文鹏. 工程流体力学（第三版）[M]. 北京：中国电力出版社，2006：144-146.
[9] DL/T 5054—1996 火力发电厂汽水管道设计技术规定[S].

[1]	Mingbing LI, Qiang LI, Xiyang GUAN, Haoyang ZHOU, Rui LU, Yankun FENG. Market Oriented Low-Carbon Optimal Scheduling of Virtual Power Plants Considering Multiple User-Side Resources Coordination [J]. Electric Power, 2025, 58(2): 66-76.
[2]	Ke YANG, Dong WANG, Da LI, Wangjun ZHANG, Ga XIANG, Jun LI. Network Security Risk Assessment Index System and Calculation for Virtual Power Plant [J]. Electric Power, 2024, 57(8): 130-137.
[3]	Hai QIN, Sheng CHEN, Honglue ZHANG, Tian XIA, Qinfeng MA, Zhanyu DUAN, Wei YAN. Time-based Equivalent Method for Reactive Power Regulation Capacity of Grid-connected Photovoltaic Plant [J]. Electric Power, 2024, 57(2): 27-33.
[4]	Zhongkai YI, Langbo HOU, Ying XU, Yongfeng WU, Zhimin LI, Junfei WU, Teng FENG, Liu HAN. Aggregation and Operation Key Technology of Virtual Power Plant with Flexible Resources in Electricity Market Environment: Review [J]. Electric Power, 2024, 57(12): 82-96.
[5]	Jinliang ZHANG, Zeping HU. Inventory Optimization Model of Biomass Power Plant Considering Multiple Uncertainties [J]. Electric Power, 2024, 57(12): 157-168.
[6]	Jiangfeng ZHANG, Song KE, Wenjin CHEN, Tianyu WANG, Keke ZHENG, Jun YANG. Virtual Synchronous Control Frequency Regulation Strategy for Adjustable Self-standby Rate in Photovoltaic Plants [J]. Electric Power, 2024, 57(11): 108-118.
[7]	Tianqi SONG, Zhipeng LV, Zhenhao SONG, Yunting MA, Zhihui ZHANG, Shan ZHOU, Hao LI. Research and Thinking on the Aggregation and Dispatching Control Framework of Virtual Power Plant's Large Scale Flexible Resources [J]. Electric Power, 2024, 57(1): 2-8.
[8]	Ying ZHOU, Xuefeng BAI, Yang WANG, Min QIU, Chong SUN, Yajie WU, Bin LI. Analysis and Evolution Trend of Temperature-Sensitive Loads for Virtual Power Plant Operation [J]. Electric Power, 2024, 57(1): 9-17.
[9]	Rui ZHU, Yiding OU, Xiaotian LI, Xingyu LEI, Yuqing ZHOU, Poyang ZHANG, Rui OU. Evaluation of Virtual Power Plant Flexibility Resources Based on External Characteristic Equivalence [J]. Electric Power, 2024, 57(1): 30-39.
[10]	Mengfei XIE, Gaoquan MA, Bin LIU, Zhenning PAN, Yunfeng SHANG. Virtual Power Plant Quotation Strategy Based on Information Gap Decision Theory [J]. Electric Power, 2024, 57(1): 40-50.
[11]	Yunchen FENG, Heping JIA, Min YAN, Genzhu LI, Le LIU, Dunnan LIU. Operation Optimization Method for Virtual Power Plant Participating in Clean Heating Based on Time-of-Use Tariff of Wind Power [J]. Electric Power, 2024, 57(1): 51-60.
[12]	Ting ZHOU, Yudong TAN, Jin SUN, Ming WEN, Jing LIAO, Yang LI, Gong LIU, Dunnan LIU. Collaborative Optimization Strategy for Virtual Power Plant Participating in Energy and Ancillary Service Market [J]. Electric Power, 2024, 57(1): 61-70.
[13]	Shuhan ZHANG, Qian AI, Xiaolu LI, Di WANG. Improved PBFT Consensus Mechanism for Multi-virtual Power Plant Transactions [J]. Electric Power, 2024, 57(1): 71-81, 157.
[14]	Ying ZHANG, Yan WEN, Yu JI, Juan ZUO, Wenbo WANG. Calculation of Day-Ahead Frequency Regulation Capacity for Virtual Power Plants Based on Analytical Target Cascading Method [J]. Electric Power, 2024, 57(1): 82-90.
[15]	Chao ZHANG, Dongmei ZHAO, Yu JI, Ying ZHANG. Real Time Optimal Dispatch of Virtual Power Plant Based on Improved Deep Q Network [J]. Electric Power, 2024, 57(1): 91-100.

Finite Element Analysis and Optimization on the Dynamic Stress of the High-Temperature High-Pressure Steam-Water Pipelines of Thermal Power Plants

PDF (PC)

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics