Operation Characteristics and Load Distribution of CHP Units with Extraction-Condensate and Extraction-High Back Pressure Mode

doi:10.11930/j.issn.1004-9649.202203078

Abstract

Abstract: The application of high back pressure turbine in large capacity coal-fired plants can make use of exhaust waste heat as much as possible to save fuel remarkably, which has become the first choice for heating renovation of thermal power plants if the heat load demand can be met. In this paper, the model is developed for a power plant with 2 × 330 MW high back pressure and extraction combined heat and power (CHP) units to analyze the theoretical heating capacity. Considering the supply and return water temperature of the heat supply network, peak shaving capacity and economic operation conditions are also analyzed. The steam extraction distribution and load distribution problems are studied for the operation of extraction condensate-extraction high back pressure (EC-EHBP) mode and double extraction condensate (EC-EC) mode, respectively. Principles of steam extraction distribution and electric load distribution are obtained and the back pressure operation mode is also determined under different ambient temperatures. The research results can provide theoretical guidance for the actual operation of CHP power plants.

Key words: high back pressure, cogeneration, economic operation, extraction steam distribution, load distribution

LIU Xue, HU Ganggang, LI Jian, YANG Zhiping, WANG Ningling, GE Zhihua. Operation Characteristics and Load Distribution of CHP Units with Extraction-Condensate and Extraction-High Back Pressure Mode[J]. Electric Power, 2022, 55(10): 219-228.

Add to citation manager EndNote|Ris|BibTeX

URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202203078

https://www.electricpower.com.cn/EN/Y2022/V55/I10/219

References

[1] 钟崴, 郑立军, 俞自涛, 等. 基于“数字孪生”的智慧供热技术路线[J]. 华电技术, 2020, 42(11): 1–5
ZHONG Wei, ZHENG Lijun, YU Zitao, et al. Smart heat-supply roadmap based on digital twin[J]. Huadian Technology, 2020, 42(11): 1–5
[2] 李沛峰, 杨勇平, 陈玉勇, 等. 热电联产供热系统节能分析及改进[J]. 工程热物理学报, 2013, 34(8): 1411–1415
LI Peifeng, YANG Yongping, CHEN Yuyong, et al. Energy conservation analysis and improvement on combined heat and power heating system[J]. Journal of Engineering Thermophysics, 2013, 34(8): 1411–1415
[3] 国家发改委. “十四五”循环经济发展规划[EB/OL]. (2021-07-01) [2022-04-01]. http:// www.gov.cn/zhengce/zhengceku/2021-07/07/content_5623077.htm.
[4] 李文涛, 袁卫星, 付林, 等. 汽轮机高背压供热方式能耗分析[J]. 区域供热, 2015, 177(4): 10–17
LI Wentao, YUAN Weixing, FU Lin, et al. Energy consumption analysis of high back pressure heating mode of steam turbine[J]. District Heating, 2015, 177(4): 10–17
[5] 戈志华, 杨佳霖, 何坚忍, 等. 大型纯凝汽轮机供热改造节能研究[J]. 中国电机工程学报, 2012, 32(17): 25–30,139
GE Zhihua, YANG Jialin, HE Jianren, et al. Energy saving research of heating retrofitting for large scale condensing turbine[J]. Proceedings of the CSEE, 2012, 32(17): 25–30,139
[6] 万燕, 孙诗梦, 戈志华, 等. 大型热电联产机组高背压供热改造全工况热经济分析[J]. 电力建设, 2016, 37(4): 131–137
WAN Yan, SUN Shimeng, GE Zhihua, et al. Thermo-economic analysis of high back pressure heating retrofit for large-scale cogeneration unit under full condition[J]. Electric Power Construction, 2016, 37(4): 131–137
[7] 戈志华, 孙诗梦, 万燕, 等. 大型汽轮机组高背压供热改造适用性分析[J]. 中国电机工程学报, 2017, 37(11): 3216–3222,3377
GE Zhihua, SUN Shimeng, WAN Yan, et al. Applicability analysis of high back-pressure heating retrofit for large-scale steam turbine unit[J]. Proceedings of the CSEE, 2017, 37(11): 3216–3222,3377
[8] 杨志平, 时斌, 李晓恩, 等. 热负荷分配比例对抽凝-背压供热机组能耗影响[J]. 化工进展, 2018, 37(3): 875–883
YANG Zhiping, SHI Bin, LI Xiaoen, et al. Impacts of heat load distribution ratio on energy consumption of extraction steam high back pressure heating cogeneration unit[J]. Chemical Industry and Engineering Progress, 2018, 37(3): 875–883
[9] 冯澎湃, 王宁玲, 杨志平, 等. 直接空冷高背压供热机组的梯级供热特性与冷端变工况协同优化[J]. 中国电机工程学报, 2016, 36(20): 5546–5554,5731
FENG Pengpai, WANG Ningling, YANG Zhiping, et al. Cascade heating characteristics and off-design collaborative optimization of direct air-cooled high pressure heat supply power units[J]. Proceedings of the CSEE, 2016, 36(20): 5546–5554,5731
[10] 杨志平, 宋四明, 李维, 等. 耦合喷射器热电联产系统设计及运行优化[J]. 中国电机工程学报, 2020, 40(9): 2942–2951
YANG Zhiping, SONG Siming, LI Wei, et al. Design and operation optimization of combined heat and power system coupling with ejector[J]. Proceedings of the CSEE, 2020, 40(9): 2942–2951
[11] 杨志平, 冯澎湃, 王宁玲, 等. 质–量并行调节下直接空冷高背压供热机组弹性运行与优化[J]. 中国电机工程学报, 2017, 37(19): 5655–5664,5842
YANG Zhiping, FENG Pengpai, WANG Ningling, et al. Flexible operation and optimization of direct air-cooled high pressure heat supply power units in quality-volume regulation[J]. Proceedings of the CSEE, 2017, 37(19): 5655–5664,5842
[12] 李岩, 马懿峰, 李文涛. 湿冷机组乏汽余热利用的新型热电联产系统集成优化[J]. 中国电机工程学报, 2017, 37(19): 5688–5695,5846
LI Yan, MA Yifeng, LI Wentao. Integrated optimization of a new co-generation system based on waste heat recovery of water-cooled unit[J]. Proceedings of the CSEE, 2017, 37(19): 5688–5695,5846
[13] 李树山, 李刚, 程春田, 等. 动态机组组合与等微增率法相结合的火电机组节能负荷分配方法[J]. 中国电机工程学报, 2011, 31(7): 41–47
LI Shushan, LI Gang, CHENG Chuntian, et al. Thermal units' energy conservation load dispatch method with combining dynamic unit commitment into equal incremental principle[J]. Proceedings of the CSEE, 2011, 31(7): 41–47
[14] 王珊, 刘明, 严俊杰. 采用粒子群算法的热电厂热电负荷分配优化[J]. 西安交通大学学报, 2019, 53(9): 159–166
WANG Shan, LIU Ming, YAN Junjie. Optimizing heat-power load distribution of thermal power plants based on particle swarm algorithm[J]. Journal of Xi'an Jiaotong University, 2019, 53(9): 159–166
[15] 刘炳含, 付忠广, 王鹏凯, 等. 大数据挖据技术在燃煤电站机组能耗分析中的应用研究[J]. 中国电机工程学报, 2018, 38(12): 3578–3587
LIU Binghan, FU Zhongguang, WANG Pengkai, et al. Big data mining technology application in energy consumption analysis of coal-fired power plant units[J]. Proceedings of the CSEE, 2018, 38(12): 3578–3587
[16] 赵世飞. 燃煤高背压热电联产机组适用性研究[D]. 北京: 华北电力大学, 2020.
ZHAO Shifei. Adaption research on coal-fired combined heat and power plant with high back-pressure turbine[D]. Beijing: North China Electric Power University, 2020.
[17] 吴涛, 赖菲, 刘震, 等. 热电联产机组在深度调峰模式下的负荷智能分配[J]. 热力发电, 2021, 50(9): 119–127
WU Tao, LAI Fei, LIU Zhen, et al. Intelligent load distribution of cogeneration units in deep peak regulation mode[J]. Thermal Power Generation, 2021, 50(9): 119–127
[18] 李沛峰. 基于绿色供热的热电联产低温直供模式研究[D]. 北京: 华北电力大学, 2015.
LI Peifeng. Research on low temperature district heating of combined heat and power based on green heating[D]. Beijing: North China Electric Power University, 2015.
[19] 徐彤, 周云, 王新雷. 300 MW级热电联产机组调峰能力研究[J]. 中国电力, 2014, 47(9): 35–41
XU Tong, ZHOU Yun, WANG Xinlei. Research on peak regulation capability of 300 MW combined heat and power plant[J]. Electric Power, 2014, 47(9): 35–41
[20] 李健, 丁维栋, 杨志平, 等. 330 MW高背压热电联产机组运行优化分析[J/OL]. 华北电力大学学报(自然科学版): 1–11[2022-04-15]. http:// kns.cnki.net/kcms/detail/13.1212.TM.20220317.1612.002.html.
LI Jian, DING Weidong, YANG Zhiping, et al. Operation and optimization analysis of 330 mw high back pressure cogeneration unit[J/OL]. Journal of North China Electric Power University (Natural Science Edition),1–11 [2022-04-15]. http://kns.cnki.net/kcms/detail/13. 1212.TM.20220317.1612.002.html.
[21] 梁占伟, 张磊, 徐亚涛, 等. 双机联调抽汽-高背压联合供热?分析与优化[J]. 动力工程学报, 2020, 40(3): 247–255
LIANG Zhanwei, ZHANG Lei, XU Yatao, et al. Exergy analysis and optimization of steam extraction-high back pressure combined heating for dual cogeneration units[J]. Journal of Chinese Society of Power Engineering, 2020, 40(3): 247–255
[22] 高鹗, 刘鉴民. 热力发电厂[M]. 上海: 上海交通大学出版社, 1995.