基于模糊综合评价的海上直驱风电机组运行状态评估
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摘要
直驱式技术正在成为海上风电机组传动系统采用的主流技术之一,对其运行状态的实时正确评估显得极为迫切。该文提出一种集成了相关系数法、劣化度分析法和模糊综合评判等多种方法的风电机组运行状态评价模型。采用客观赋权法中的相关系数法来计算指标权重;归一化指标参数采用劣化度分析法;利用多层次模糊综合评价法,自下而上、逐级地对风电机组各个子系统的运行状态进行评价。并对该评价模型进行实际直驱风机在线监测数据的应用分析,评价结果符合实际运行数据的分析。该文研究结果可为海上风电场直驱式风电机组日常运行维护的管理提供决策辅助,提高海上风电场运营效率。
Direct drive motor systems for offshore wind turbines will improve reliability and reduce maintenance costs. This paper describes a real-time status evaluation model for offshore direct-drive wind turbines.This model integrates the correlation coefficient method,deterioration analyses and fuzzy synthetic evaluation.The correlation coefficient method determines the weights of various indexes. The deterioration analysis normalizes the indicator parameters. The bottom-up, step-by-step, multi-level fuzzy synthetic evaluation method assesses the status of each subsystem of the offshore direct-drive wind turbine. An analysis of online inspection data for a direct-drive wind turbine shows that the model results are consistent with real operational data.This model is helpful for managing routine operations and maintenance for offshore direct-drive wind turbines to improve the operational efficiency of offshore wind farms.
Direct drive motor systems for offshore wind turbines will improve reliability and reduce maintenance costs. This paper describes a real-time status evaluation model for offshore direct-drive wind turbines.This model integrates the correlation coefficient method,deterioration analyses and fuzzy synthetic evaluation.The correlation coefficient method determines the weights of various indexes. The deterioration analysis normalizes the indicator parameters. The bottom-up, step-by-step, multi-level fuzzy synthetic evaluation method assesses the status of each subsystem of the offshore direct-drive wind turbine. An analysis of online inspection data for a direct-drive wind turbine shows that the model results are consistent with real operational data.This model is helpful for managing routine operations and maintenance for offshore direct-drive wind turbines to improve the operational efficiency of offshore wind farms.
引文
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[14]肖运启,王昆朋,贺贯举,等.基于趋势预测的大型风电机组运行状态模糊综合评价[J].中国电机工程学报,2013,34(13):1-9.XIAO Yunqi,WANG Kunpeng,HE Guanju,et al.Fuzzy comprehensive evaluation for operating condition of large-scale wind turbines based on trend predication[J].Proceedings of the CSEE,2013,34(13):1-9.
[15]XIAO Yunqi,WANG Kunpeng,HE Guanju,et al.An operating condition fuzzy assessment strategy for large scale doubly-fed wind power generation system[J].Journal of renewable and sustainable energy,2014,6(3):1-14.
[16]张登峰,郝伟,郝旺身,等.模糊理论在风力发电设备状态评价中的应用[J].机械设计与制造,2011(11):75-77.ZHANG Dengfeng,HAO Wei,HAO Wangshen,et al.Application of fuzzy theory in status evaluation of wind power generation equipment[J].Machinery Design&Manufacture,2011(11):75-77.(in Chinese)
[2]张镇.风电机组故障统计分析研究[J].风能,2013(8):68-71.ZHANG Zhen.An analysis of wind turbine fault statistics[J].Wind Energy,2013(8):68-71.(in Chinese)
[3]刘德顺,戴巨川,胡燕平,等.现代大型风电机组现状与发展趋势[J].中国机械工程,2013,24(1):125-134.LIU Deshun,DAI Juchuan,HU Yanping,et al.Status and development trends of modern large-scale wind turbine[J].China Mechanical Engineering,2013,24(1):125-134.(in Chinese)
[4]Zoran I M.Direct-drive wind turbines[J].International Journal of Scientific&Engineering Research,2011,2(10):1-11.
[5]Polinder H,van der Pijl F F A,Tavner P J,et al.Comparison of direct-drive and geared generator concepts for wind turbines[J].Transaction on energy conversion,2006,21(3):725-732.
[6]沈德昌.海上风电机组发展趋势分析[J].风能,2012(12):66-71.SHEN Dechang.An analysis on offshore wind turbine development trend[J].Wind Energy,2012(12):66-71.(in Chinese)
[7]Amirat Y,Benbouzid M E H,Al-Ahmar E,et al.A brief status on condition monitoring and fault diagnosis in wind energy conversion systems[J].Renewable and Sustainable Energy Reviews,2009(13):1619-1636.
[8]Hameed Z,Hong Y S,Cho Y M,et al.Condition monitoring and fault detection of wind turbines and related algorithms:A review[J].Renewable and Sustainable Energy Reviews,2009,13(1):1-39.
[9]张登峰.风力发电设备状态评价系统[D].郑州:郑州大学,2011.ZHANG Dengfeng.Design Status Evaluation System of Wind Power Generation Euqipments[D].Zhengzhou:Zhengzhou University,2011.(in Chinese)
[10]郑小霞,张志宏,符杨.基于变权模糊综合评判的海上风电机组运行状态评估[J].计算机测量与控制,2013,21(7):1861-1867.ZHENG Xiaoxia,ZHANG Zhihong,FU Yang.Operating conditions assessment for offshore wind turbine based on fuzzycomprehensive evaluation with variable weights[J].Computer Measurement&Control,2013,21(7):1861-1867.(in Chinese)
[11]王志国,马一太,杨昭,等.风力发电机组性能分析的模糊综合评判方法[J].太阳能学报,2004,25(2):177-181.WANG Zhiguo,MA Yitai,YANG Zhao,et al.Fuzzy comprehensive evaluation method of wind power generation unit[J].Acta Energiae Solaris Sinica,2004,25(2):177-181.(in Chinese)
[12]李辉,胡姚刚,唐显虎,等.并网风电机组在线运行状态评估方法[J].中国电机工程学报,2010,30(33):103-109.LI Hui,HU Yaogang,TANG Xianhu,et al.Method for on-line operating conditions assessment for a grid-connected wind turbine generator system[J].Proceedings of the CSEE,2010,30(33):103-109.
[13]Li H,Hu Y G,Yang C,et al.An improved fuzzy synthetic condition assessment of a wind turbine generator system[J].Electrical Power and Energy Systems,2013(45):468-476.
[14]肖运启,王昆朋,贺贯举,等.基于趋势预测的大型风电机组运行状态模糊综合评价[J].中国电机工程学报,2013,34(13):1-9.XIAO Yunqi,WANG Kunpeng,HE Guanju,et al.Fuzzy comprehensive evaluation for operating condition of large-scale wind turbines based on trend predication[J].Proceedings of the CSEE,2013,34(13):1-9.
[15]XIAO Yunqi,WANG Kunpeng,HE Guanju,et al.An operating condition fuzzy assessment strategy for large scale doubly-fed wind power generation system[J].Journal of renewable and sustainable energy,2014,6(3):1-14.
[16]张登峰,郝伟,郝旺身,等.模糊理论在风力发电设备状态评价中的应用[J].机械设计与制造,2011(11):75-77.ZHANG Dengfeng,HAO Wei,HAO Wangshen,et al.Application of fuzzy theory in status evaluation of wind power generation equipment[J].Machinery Design&Manufacture,2011(11):75-77.(in Chinese)