乔腾, 张益铭, 曹一家, 王力, 袁清. 基于概率可靠性评估的永磁直驱风机低电压穿越控制模型参数辨识[J]. 中国电力, 2021, 54(12): 102-111. DOI: 10.11930/j.issn.1004-9649.202012112
引用本文: 乔腾, 张益铭, 曹一家, 王力, 袁清. 基于概率可靠性评估的永磁直驱风机低电压穿越控制模型参数辨识[J]. 中国电力, 2021, 54(12): 102-111. DOI: 10.11930/j.issn.1004-9649.202012112
QIAO Teng, ZHANG Yiming, CAO Yijia, WANG Li, YUAN Qing. Parameter Identification of Low Voltage Ride-Through Control Model for Permanent Magnet Direct-Drive Wind Turbine Based on Probabilistic Reliability Assessment[J]. Electric Power, 2021, 54(12): 102-111. DOI: 10.11930/j.issn.1004-9649.202012112
Citation: QIAO Teng, ZHANG Yiming, CAO Yijia, WANG Li, YUAN Qing. Parameter Identification of Low Voltage Ride-Through Control Model for Permanent Magnet Direct-Drive Wind Turbine Based on Probabilistic Reliability Assessment[J]. Electric Power, 2021, 54(12): 102-111. DOI: 10.11930/j.issn.1004-9649.202012112

基于概率可靠性评估的永磁直驱风机低电压穿越控制模型参数辨识

Parameter Identification of Low Voltage Ride-Through Control Model for Permanent Magnet Direct-Drive Wind Turbine Based on Probabilistic Reliability Assessment

  • 摘要: 参数的准确获取有助于提高永磁直驱风机低电压穿越控制模型的仿真精度。复杂模型不仅存在参数多、无法全部测试获取的问题,非目标参数的不精确状况也会影响到目标参数辨识的准确度。通过灵敏度分析判断参数获取的难易程度,作为选择辨识顺序的依据。将非目标参数随机设置在经验范围内,采用概率可靠性评估方法选取用于准确辨识目标参数的观测变量。针对目标参数,采取兼顾辨识优先顺序和对应观测变量选取的分步辨识策略,获取高概率可靠性的辨识结果作为最终参数值,消除非目标参数设置不准确的影响。基于所提方法,对永磁直驱风机低电压穿越控制模型中目标参数进行理论辨识,并通过实测数据进行验证。

     

    Abstract: The accurate parameter acquisition is helpful to improve the simulation accuracy of the low voltage ride-through control model for permanent magnet direct-drive wind turbines. The parameters of a complex model are numerous and cannot be fully obtained through tests, and the inaccuracy of its non-target parameters will affect the accuracy of target parameter identification. Therefore, the sensitivity analysis is used to evaluate the difficulty of parameter acquisition, providing a basis for the identification order selection. The non-target parameters are randomly set within the empirical range, and the probabilistic reliability assessment method is employed to decide observed variables from them for the accurate identification of target parameters. A stepwise identification strategy that takes into account both the priority order for identification and the selection of corresponding observed variables is adopted for the target parameters, and the identification results with high probabilistic reliability are obtained as the final parameter values. In this way, the influence of inaccurate settings of non-target parameters is eliminated. The proposed method is applied to identify the target parameters of the low voltage ride-through control model for permanent magnet direct-drive wind turbines, and the results have been verified by measured data.

     

/

返回文章
返回