基于聚类的火电机组深度调峰负荷优化分配研究Load optimal distribution of deep peak regulation for thermal power units based on clustering
任燕燕,曹惠琳,姜海岩,喻良,胡才宝,郭晓桐,周怀春
摘要(Abstract):
为了给深度调峰工况下火电机组负荷优化分配提供方法指导,分别建立了机组中高负荷与低负荷下的优化分配目标函数,并对不同状态下的负荷优化分配进行了研究。利用k均值聚类算法处理数据,拟合出2台机组中高负荷与低负荷下的煤耗特性曲线;建立负荷分配目标函数,对比负荷静态分配、增量分配及持续变负荷条件下优化前后的煤耗量;设定深度调峰工况下2台机组总负荷指令,对比负荷平均分配和优化分配2种方案的煤耗量。结果表明:利用基于聚类的煤耗特性曲线建立中高负荷与低负荷下的优化分配目标函数,方法可靠,深度调峰工况下优化效果显著。k均值聚类算法可用于火电机组负荷优化分配,并可为火电机组深度调峰工况下负荷优化分配的研究提供参考。
关键词(KeyWords): 深度调峰;k均值聚类;负荷优化分配;煤耗量
基金项目(Foundation): 中央高校基本科研业务费专项资金项目(2020QN09);; 教育部产学合作协同育人项目(220605308075918)~~
作者(Author): 任燕燕,曹惠琳,姜海岩,喻良,胡才宝,郭晓桐,周怀春
DOI: 10.19666/j.rlfd.202306096
参考文献(References):
- [1]刘吉臻.支撑新型电力系统建设的电力智能化发展路径[J].能源科技, 2022, 20(4):3-7.LIU Jizhen. Development path of power intelligence supporting the construction of new power system[J].Energy Science and Technology, 2022, 20(4):3-7.
- [2]康重庆,杜尔顺,李姚旺,等.新型电力系统的“碳视角”:科学问题与研究框架[J].电网技术, 2022, 46(3):821-833.KANG Chongqing, DU Ershun, LI Yaowang, et al. Key scientific problems and research framework for carbon perspective research of new power systems[J]. Power System Technology, 2022, 46(3):821-833.
- [3]李政,张东杰,潘玲颖,等.“双碳”目标下我国能源低碳转型路径及建议[J].动力工程学报, 2021, 41(11):905-909.LI Zheng, ZHANG Dongjie, PAN Lingying, et al. Lowcarbon transition of China’s energy sector and suggestions with the “carbon-peak and carbon-neutrality” target[J].Journal of Chinese Society of Power Engineering, 2021,41(11):905-909.
- [4]杨光宇,胡永秋.高举中国特色社会主义伟大旗帜为全面建设社会主义现代化国家而奋斗[EB/OL].人民日报网.[2022-10-26](2023-06-01). http://politics.people.com.cn/n1/20 22/1026/c1024-32551597.html.YANG Guangyu, HU Yongqiu. Holding high the great banner of socialism with Chinese characteristics and striving for the comprehensive construction of a socialist modernized country[EB/OL].The People’s Daily Online.[2022-10-26](2023-06-01). http://politics.people.com.cn/n1/2022/1026/c1024-32551597.html.
- [5]中共中央,国务院.中共中央国务院关于完整准确全面贯彻新发展理念做好碳达峰碳中和工作的意见[A].北京:中共中央,国务院, 2021.The Central Committee of the Communist Party of China,The Sate Council. The Central Committee of the Communist Party of China and the Sate Council are fully prepared to fully implement the new development concept and do a good job in carbon peak carbon neutrality[A].Beijing:The Central Committee of the Communist Party of China, The Sate Council, 2021.
- [6]刘吉臻,李云鸷,宋子秋,等.灵活智能燃煤发电技术及评价体系[J].动力工程学报, 2022, 42(12):993-1012.LIU Jizhen, LI Yunzhi, SONG Ziqiu, et al. Flexible and intelligent coal-fired power generation technology and its evaluation system[J]. Journal of Chinese Society of Power Engineering, 2022, 42(12):993-1012.
- [7]刘吉臻,王玮,胡阳,等.新能源电力系统控制与优化[J].控制理论与应用, 2016, 33(12):1555-1561.LIU Jizhen, WANG Wei, HU Yang, et al. Control and optimization of alternate electrical power system with renewable energy sources[J]. Control Theory&Applications, 2016, 33(12):1555-1561.
- [8]刘峰,郭林峰,赵路正.双碳背景下煤炭安全区间与绿色低碳技术路径[J].煤炭学报, 2022, 47(1):1-15.LIU Feng, GUO Linfeng, ZHAO Luzheng. Research on coal safety range and green low-carbon technology path under the dual-carbon background[J]. Journal of China Coal Society, 2022, 47(1):1-15.
- [9]赵剑峰.低碳经济视角下煤炭工业清洁利用分析及政策建议[J].煤炭学报, 2011, 36(3):514-518.ZHAO Jianfeng. Analysis and policy recommendation on coal industry clean-using from the perspective of lowcarbon economy[J]. Journal of China Coal Society, 2011,36(3):514-518.
- [10]陈浮,王思遥,于昊辰,等.碳中和目标下煤炭变革的技术路径[J].煤炭学报, 2022, 47(4):1452-1461.CHEN Fu, WANG Siyao, YU Haochen, et al.Technological innovation paths of coal industry for achieving carbon neutralization[J]. Journal of China Coal Society, 2022, 47(4):1452-1461.
- [11]甘益明,王昱乾,黄畅,等.“双碳”目标下供热机组深度调峰与深度节能技术发展路径[J].热力发电, 2022,51(8):1-10.GAN Yiming, WANG Yuqian, HUANG Chang, et al.Development path of deep peak-shaving and deep energy conservation technology for cogeneration units with “dual carbon” target[J]. Thermal Power Generation, 2022,51(8):1-10.
- [12]欧阳子区,王宏帅,吕清刚,等.煤粉锅炉发电机组深度调峰技术进展[J/OL].中国电机工程学报:1-22[2023-05-31]. https://doi.org/10.13334/j.0258-8013. pcsee.222007.OUYANG Ziqu, WANG Hongshuai, LYU Qinggang,et al. Research progress on deep peak shaving technology of pulverized coal-fired boiler power unit[J/OL].Proceedings of the CSEE, 1-22[2023-05-31]. https://doi.org/10.13334/j.0258-8013.pcsee.222007.
- [13] BENATO A, BRACCO S, STOPPATO A, et al. LTE:a procedure to predict power plants dynamic behaviour and components lifetime reduction during transient operation[J]. Applied Energy, 2016, 162:880-891.
- [14] BARTNIK R, BURYN Z, HNYDIUK-STEFAN A. Thermodynamic and economic analysis of effect of heat accumulator volume on the specific cost of heat production in the gas-steam CHP plant[J]. Energy, 2021,230:120828.
- [15]慕昀翰.基于燃煤机组深度调峰安全性条件下负荷优化分配[D].北京:华北电力大学, 2021:1.MU Junhan. Based on deep peak shaving safety load distribution optimization of coal fired units[D]. Beijing:North China Electric Power University, 2021:1.
- [16]王海宁.大型燃煤机组深度调峰运行经济性安全性分析及负荷优化分配[D].保定:华北电力大学, 2012:1.WANG Haining. Analysis of economy and safety for large coal-fired generating unit on peak-load operation mode and load optimal distribution[D]. Baoding:North China Electric Power University, 2012:1.
- [17] QI Y, ZHAO D, LI X. Thermal unit energy conservation load dispatch based on harmony search algorithm combined with dynamic unit commitment[C]//International Conference on Energy, Environment and Sustainable Development, 2014.
- [18]张文君,顾行发,陈良富,等.基于均值-标准差的k均值初始聚类中心选取算法[J].遥感学报, 2006(5):715-721.ZHANG Wenjun, GU Xingfa, CHEN Liangfu, et al. An algorithm for initilizing of k-means clustering based on mean-standard deviation[J]. Journal of Remote Sensing,2006(5):715-721.
- [19]陶莹,杨锋,刘洋,等. k均值聚类算法的研究与优化[J].计算机技术与发展, 2018, 28(6):90-92.TAO Ying, YANG Feng, LIU Yang, et al. Research and optimization of k-means clustering algorithm[J]. Computer Technology and Development, 2018, 28(6):90-92.
- [20]王惠琴,侯文斌,彭清斌,等.基于k均值聚类的SPPM分步分类检测算法[J].通信学报, 2022, 43(1):161-171.WANG Huiqin, HOU Wenbin, PENG Qinbin, et al. Stepby-step classification detection algorithm of SPPM based on k-means clustering[J]. Journal of Communications,2022, 43(1):161-171.
- [21]杨茂,董骏城.基于混合分布模型的风电功率波动特性研究[J].中国电机工程学报, 2016, 36(增刊1):69-78.YANG Mao, DONG Juncheng. Study on characteristics of wind power fluctuation based on mixed distribution model[J].Proceedings of the CSEE, 2016, 36(Suppl.1):69-78.
- [22]郑体宽,杨晨.热力发电厂[M].北京:中国电力出版社, 2008:26-31.ZHENG Tikuan, YANG Chen. Thermal power plant[M].Beijing:China Electric Power Press, 2008:26-31.
- [23]汪梦麟.火电厂热效率及供电煤耗率的核定和计算[J].华中电力, 1996(3):8-12.WANG Menglin. Verification and calculation of thermal efficiency and coal consumption rate for power supply in thermal power plants[J]. Central China Electric Power,1996(3):8-12.
- [24]王志明.数字图像处理与分析[M].北京:清华大学出版社, 2012:1.WANG Zhiming. Digital image processing and analysis[M]. Beijing:Tsinghua University Press, 2012:1.
- [25]张强.综合经济目标下电厂机组负荷优化调度方法研究[D].上海:上海交通大学, 2010:1.ZHANG Qiang. Research on optimal load dispatch of units in power plant for a comprehensive economical goal[D].Shanghai:Shanghai Jiao Tong University, 2010:1.