The Research on the Self-Startup Technology of Steam Turbines Based on the Risk Analysis of Fuzzy Numbers

doi:10.11930/j.issn.1004-9649.201703006

Abstract

Abstract: An intelligent control system for steam turbines is designed based on the risk analysis of fuzzy numbers. Through studying the operational characteristics of steam turbines, the startup process is divided into several sequential steps. By using the risk analysis method based on the similarity of fuzzy numbers, the risk in the startup process of steam turbines is forecasted and controlled. The execution of the next step is then determined by combining the experience of operators, and the appropriate startup path could be planned accordingly. For the first time, this technology realized the self-startup control using a non-thermal stress model of steam turbines, and it provides significant insight on the study and applications of the self-startup technology of domestically produced turbines.

Key words: coal-fired power plant, fuzzy numbers, risk analysis, self-startup technology, execution steps

CLC Number:

TK323

WANG Zhijie, WANG Xihui, ZHU Xiaoxing, ZHENG Zhong. The Research on the Self-Startup Technology of Steam Turbines Based on the Risk Analysis of Fuzzy Numbers[J]. Electric Power, 2018, 51(5): 95-100.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201703006

https://www.electricpower.com.cn/EN/Y2018/V51/I5/95

References

[1] 孙琳, 李天然, 钱俊杰, 等. 基于模糊控制的广域阻尼控制器设计[J]. 中国电力, 2015, 48(6):59-62.SUN Lin, LI Tianran, QIAN Junjie, et al. Design of wide area damping controller based on fuzzy control[J]. Electric Power, 2015, 48(6):59-62.
[2] 张红福, 朱亚清, 张曦. 1000 MW机组APS中汽轮机冲转的研究分析[J]. 自动化博览, 2009(9):86-89.ZHANG Hongfu, ZHU Yaqing, ZHANG Xi. Research and analysis of turbine turn on APS system of 1000 MWgenerator.[J]. Automation Panorama, 2009(9):86-89.
[3] 韩芹, 潘维加, 袁钢. 基于LabVIEW的汽轮机自启动控制系统仿真[J]. 长沙理工大学学报, 2009, 6(1):59-64.HAN Qin, PAN Weijia, YUAN Gang. Simulation of automatic turbine startup control system based on the LabVIEW[J]. Journal of Changsha University of Science and Technology, 2009, 6(1):59-64.
[4] 祝建飞, 姚峻, 陈松操, 等. 1000 MW超超临界汽轮机自启动中热应力控制[J]. 上海电力, 2008, 21(1):47-51.ZHU Jianfei, YAO Jun, CHEN Songcao, et al. Thermal stress control during automatic startup for 1000 MW ultra-supercritical steam turbine[J]. Shanghai Electric Power, 2008, 21(1):47-51.
[5] 祝建飞, 姚峻, 吴建平. 1000 MW超超临界汽轮机热应力监测及自动控制[J]. 中国电力, 2009, 42(6):21-24.ZHU Jianfei, YAO Jun, WU Jianping. Thermal stress monitoring & control in 1000 MW ultra-supercritical steam turbine[J]. Electric Power, 2009, 42(6):21-24.
[6] 赵俊杰, 田景奇, 侯奇, 等. 上海汽轮机厂1000 MW汽轮机启动时的各项准则分析[J]. 热力透平, 2014, 43(3):167-171.ZHAO Junjie, TIAN Jingqi, HOU Qi, et al. Analysis of various criterions for start-up of STP'S 1000 MW ultra-supercritical steam turbines[J]. Thermal Turbine, 2014, 43(3):167-171.
[7] 王志杰, 朱晓星, 傅强, 等. 上汽超超临界汽轮机热应力控制技术分析[J]. 中国电力, 2017, 50(1):97-100.WANG Zhijie, ZHU Xiaoxing, FU Qiang, et al. The analysis of thermal stress control technology for ultra-supercritical steam turbine produced by STC[J]. Electric Power, 2017, 50(1):97-100.
[8] 章贵和, 段远刚, 徐晓, 等. 格林函数法在快速计算热应力中的应用研究[J]. 核动力工程, 2013, 34(5):45-47.ZHANG Guihe, DUAN Yuangang, XU Xiao, et al. Study on application of Green's function method in thermal stress rapid calculation[J]. Nuclear Power Engineering, 2013, 34(5):45-47.
[9] SU Xianghui, XU Feng. Transient thermal analysis of a plate fin heat sink with Green's function[J]. Chinese Journal of Aeronautics, 2011, 24(3):243-248.
[10] 刘长春, 杨明. 1000 MW超超临界汽轮机中压转子热应力数值模拟研究[J]. 汽轮机技术, 2014, 56(3):192-194.LIU Changchun, YANG Ming. Numerical simulation study on IP rotor thermal stress of 1000 MW ultra-supercritical steam turbine[J]. Turbine Technology, 2014, 56(3):192-194.
[11] 姜江, 李璇, 邢立宁, 等. 基于模糊证据推理的系统风险分析与评价[J]. 系统工程理论与实践, 2013, 3(2):529-537.JIANG Jiang, LI Xuan, XING Lining, et al. System risk analysis and evaluation approach based on fuzzy evidential reasoning[J]. Systems Engineering Theory Practice, 2013, 3(2):529-537.
[12] 张增刚, 郑贤斌, 李继志. 基于广义模糊数相似测度风险分析方法[J]. 系统工程理论与实践, 2010, 30(4):738-743.ZHANG Zenggang, ZHENG Xianbin, LI Jizhi. Risk analysis method based on similarity measures of generalized fuzzy numbers[J] Systems Engineering Theory Practice, 2010, 30(4):738-743.
[13] 袁雪霞, 金伟良, 刘鑫, 等. 扣件式钢管模板支撑方案的模糊风险分析模型[J]. 浙江大学学报, 2006, 40(8):1371-1376.YUAN Xuexia, JIN Weiliang, LIU Xin, et al. Model for fuzzy risk analysis of fastener-style tubular steel supported scheme[J]. Journal of Zhejiang University, 2006, 40(8):1371-1376.
[14] HADI Akbarzade Khorshidi, SANAZ Nikfalazar. An improved similarity measure for generalized fuzzy numbers and its application to fuzzy risk analysis[J]. Applied Soft Computing, 2017, 52:478-486.
[15] 陈树伟, 王延昭. 一种基于模糊数相似度的风险分析方法[J]. 模糊系统与数学, 2013, 27(5):112-122.CHEN Shuwei, WANG Yanzhao. A new fuzzy risk analysis method based on similarity measures of generalized fuzzy numbers[J]. Fuzzy Systems and Mathematics, 2013, 27(5):112-122.
[16] SCHMUCKER K. J. Fuzzy sets, natural language computa-tions and risk analysis[M]. MD:Computer Science Press, 1984.