摘要
针对服役风电机组的在线评估问题,提出一种基于线性插值模型的风电机组服役性能指标计算及评估方法。该方法包括线性插值模型的建立和服役指标的计算及评估。线性插值模型的建立将采用理论分析和统计分析相结合的数据预处理方法,基于预处理后的数据采用比恩法均匀划分区间,并在区间中统计各定义指标的功率,然后构造指标关于功率的线性插值模型。服役指标的计算及评估是通过风电机组的原始数据,以时间滑动的方式,对每次滑动的数据利用比恩法划分区间并应用线性插值模型计算性能指标,同时计算区间分配的权值,由性能指标和权值整合成机组每次滑动的服役性能指标,获得机组的服役性能指标趋势图。利用SCADA数据进行验证,证明方法的有效性,完成机组服役性能的评估工作。
Aiming at the on-line evaluated problem of commissioned wind turbines, a method for calculating and evaluating the commissioned performance of wind turbines based on linear interpolation model is proposed.The method includes the establishment of a linear interpolation model and the calculation and evaluation of commissioned indicators.The establishment of the linear interpolation model adopts a data preprocessing method combining theoretical analysis and statistical analysis.The method of Bin is used to evenly divide the interval based on the pre-processed data, and the power of each defined index is counted in the interval, and then the linear interpolation model of power for the indicator is constructed.The calculation and evaluation of the commissioned indicators is performed through the original data of the wind turbine.In the time sliding manner, the data of each sliding is divided by the method of Bin and the linear interpolation model is applied to calculate the performance index;at the same time, the weight of the interval allocation is calculated.The commissioned performance indicators of the wind turbine is composed of index and weights after each sliding to obtain the trend chart of the commissioned performance index of the wind turbine.The SCADA data is used for effectiveness verification, and the evaluation of the commissioned performance of the wind turbine is completed.
作者
刘伟
肖钊
朱岸锋
LIU Wei;XIAO Zhao;ZHU Anfeng(School of Mechanical and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China)
出处
《电力科学与工程》
2019年第6期8-14,共7页
Electric Power Science and Engineering
基金
国家自然科学基金资助项目(51875199)
湘潭市产业技术协同创新(C11810)
校级科研项目(E51751)
关键词
风电机组
预处理
服役指标
线性插值模型
评估
wind turbine
pre-processing
commissioned index
linear interpolation model
evaluation
