山东大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (6): 100-107.doi: 10.6040/j.issn.1672-3961.0.2017.013
辛燕1,李景才1,任旦元2,周民强2
XIN Yan1, LI Jingcai1, REN Danyuan2, ZHOU Minqiang2
摘要: 针对国内风电机组可利用率计算结果与实际偏差较大的缺点,基于IEC61400-26-1标准中的机组运行类别,对主控系统中各状态码进行可利用属性的划分,对故障停机时间采用基于时间戳法的统计计算,改进可兼顾业主和制造商利益的机组可利用率计算方法,计算结果整体趋势与SCADA报表一致。该方法可通过对低利用率机组状态代码的时间和次数统计,发现机组可利用率低的主要原因,并提出改进意见,进而通过主控程序升级等方式提升机组利用率。结果表明,利用该方法计算,机组可利用率提升2.2%,与实际结果更加符合。
中图分类号:
[1] 秦冠军,笃峻,徐浩,等.基于风机状态细分的风机运营可靠性考核算法[J].可再生能源,2014,32(5):668-672. QIN Guanjun, DU Jun, XU Hao, et al. Reliability assessment algorithm of wind turbine based on subdivided of wind turbine state[J]. Renewable Energy Resources, 2014, 32(5):668-672. [2] 国家能源局. 风电场运行指标与评价导则:NB/T 31045—2013[S].北京:中国标准出版社,2014. [3] 张瑞君.风力发电机组性能考核方法探讨[J].能源技术经济,2011,23(11):70-72. ZHANG Ruijun. Analysis on the performance evaluation method[J]. Electric Power Technologic Economics, 2011, 23(11):70-72. [4] 姜锐. 风力发电机组可利用率浅析[C] //2008年中国电机工程学会年会论文集.西安,中国:中国电机工程学会,2008: 1-6. JIANG Rui. Analysis of the utilization rate of wind turbine[C] //2008 China Electrical Engineering Society Annual Conference. Xi'an, China: China Electrical Engineering Society, 2008:1-6. [5] 刘欣村,陈磊. 基于状态码的风力发电机组可利用率计算[J]. 电网与清洁能源,2016,32(1):85-88. LIU Xincun, CHEN Lei. Wind turbine availability calculation based on status code[J]. Advances of Power System and Hydroelectric Engineering, 2016, 32(1):85-88. [6] 严淼.一种风电场可利用率计算方法的实现[C] //2013电力行业信息化年会论文集.北京, 中国:中国电机工程学会,2013: 551-553. YAN Miao. A method for calculating the availability of wind farm[C] //Proceedings of the 2013 Annual Meeting of the Electric Power Industry Informatization. Beijing, China: China Electrical Engineering Society, 2013:551-553. [7] IEC Central Office. Time-based availability for wind turbine generating systems:IEC 61400-26-1—2011[S].Geneva: IEC, 2011. [8] 徐卫峰,赵刚,郝勇生,等.风力发电机主控系统状态码设计与应用[J].风机技术,2013(2):59-63. XU Weifeng, ZHAO Gang, HAO Yongsheng, et al. Design and application of status code in wind turbine control system[J]. Compressor, Blower & Fan Technology, 2013(2):59-63. [9] 和晓慧,刘振祥.风力发电机组状态监测和故障诊断系统[J].风机技术,2011(6):50-52. HE Xiaohui, LIU Zhenxiang. Condition monitoring and fault diagnosis system for wind turbine[J].Compressor, Blower & Fan Technology, 2011(6):50-52. [10] IEC Central Office. Wind turbines-Part 1:Design requirements:IEC61400-1—2005[S]. Geneva: IEC, 2006. [11] 陈坤.海上风力发电机组电控安全系统介绍[J].风机技术,2011(4):48-51. CHEN Kun. Introduction of electronic control system for offshore wind turbine[J].Compressor, Blower & Fan Technology, 2011(4):48-51. [12] 贾彦,刘璇,李华,等.考虑尾流效应对风电场机组布局的影响分析[J].可再生能源,2014,32(4):429-435. JIA Yan, LIU Xuan, LI Hua, et al. Analysis of wind farm units layout considering wake effect[J]. Renewable Energy Resources, 2014, 32(4):429-435. [13] 甘槐樟,周鑫盛.风电场风机变桨系统故障分析[J].湖南电力,2012,32(6):35-37. GAN Huaizhang, ZHOU Xinsheng. Analysis of usual faults in pitch system of wind turbines[J]. Hunan Electric Power, 2012, 32(6):35-37. [14] 赵伟国,姜自民,刘玉田,等.海上风电机组谐波适应性远端检测[J].山东大学学报(工学版),2016,46(4):125-130. ZHAO Weiguo, JIANG Zimin, LIU Yutian, et al. Remote testing on harmonic adaptability of offshore wind turbines[J]. Journal of Shandong University(Engineering Science), 2016, 46(4):125-130. [15] 荆业飞,徐蓓蓓,张承慧,等.基于模式搜索的风能最大功率跟踪控制[J].山东大学学报(工学版),2013,43(5):44-48. JING Yefei, XU Beibei, ZHANG Chenghui, et al. Maximum power point tracking control of wind energy based on pattern search[J]. Journal of Shandong University(Engineering Science), 2013, 43(5):44-48. [16] 高阳,钟宏宇,陈鑫宇,等.基于神经网络和小波分析的超短期风速预测[J].可再生能源, 2016,34(5):705-711. GAO Yang, ZHONG Hongyu, CHEN Xinyu, et al. Ultra short term wind speed forecasting based on neural network and wavelet analysis[J]. Renewable Energy Resources, 2016, 34(5):705-711. [17] HENRIKSEN L C. Intelligent control for wind turbine yaw system[J]. Wind Energy, 2011, 14(5):72-95. [18] TORABI A, TARSAII E. Fuzzy controller used in yaw system of wind turbine noisy[J]. Journal of Mathematics and Computer Science, 2014(8):105-l12. [19] HENRIKSEN L C. Increased power capture by rotor speed—dependent yaw control of wind turbines[J].Journal of Energy Engineering, 2013, 16(6):1107-1115. [20] MIKKELSEN T, HANSEN K H, ANGELOU N, et al. Lidar wind speed measurements from a rotating spinner[J]. Europe's Premier Wind Energy Event Warsaw, 2012(4):20-23. [21] 李晓燕.兆瓦级风力机偏航控制系统设计研究[D].上海:上海交通大学,2006. LI Xiaoyan. The design and research of the yaw control system for MW rated wind turbine[D].Shanghai:Shanghai Jiaotong University, 2006. [22] 金长生.风力发电机偏航控制系统的研究[D].大连:大连理工大学,2010. JIN Changsheng. The study of yaw control system of wind turbine[D]. Dalian:Dalian University of Technology, 2010. [23] 沈小军,杜万里.大型风力发电机偏航系统控制策略研究现状及展望[J].电工技术学报,2015,30(10):196-203. SHEN Xiaojun, DU Wanli. Expectation and review of control strategy of large wind turbines yaw system[J]. Transactions of China Electrotechnical Society, 2015, 30(10):196-203. [24] 张东东.基于风向预测的风电机组偏航系统的研究[D].乌鲁木齐:新疆农业大学,2014. ZHANG Dongdong. Study on wind turbine yaw system based on wind direction forecast[D]. Urumqi:Xinjiang Agricultural University, 2014. [25] 叶杭冶.风力发电机组的控制技术[M].北京:机械工业出版社,2002:25-36. |
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