Randomness and fluctuations in wind power output may cause changes in important parameters(e.g.,grid frequency and voltage),which in turn affect the stable operation of a power system.However,owing to external factors...Randomness and fluctuations in wind power output may cause changes in important parameters(e.g.,grid frequency and voltage),which in turn affect the stable operation of a power system.However,owing to external factors(such as weather),there are often various anomalies in wind power data,such as missing numerical values and unreasonable data.This significantly affects the accuracy of wind power generation predictions and operational decisions.Therefore,developing and applying reliable wind power interpolation methods is important for promoting the sustainable development of the wind power industry.In this study,the causes of abnormal data in wind power generation were first analyzed from a practical perspective.Second,an improved complete ensemble empirical mode decomposition with adaptive noise(ICEEMDAN)method with a generative adversarial interpolation network(GAIN)network was proposed to preprocess wind power generation and interpolate missing wind power generation sub-components.Finally,a complete wind power generation time series was reconstructed.Compared to traditional methods,the proposed ICEEMDAN-GAIN combination interpolation model has a higher interpolation accuracy and can effectively reduce the error impact caused by wind power generation sequence fluctuations.展开更多
在中小型永磁同步风力发电机中,桥式整流+DC/DC变换器拓扑具有结构简单的优点,其中DC/DC电路有Boost和Buck两种拓扑,探究两者的最大功率点跟踪(Maximum Power Point Tracking,MPPT)控制性能区别是对其优化设计的关键,测控系统是性能分...在中小型永磁同步风力发电机中,桥式整流+DC/DC变换器拓扑具有结构简单的优点,其中DC/DC电路有Boost和Buck两种拓扑,探究两者的最大功率点跟踪(Maximum Power Point Tracking,MPPT)控制性能区别是对其优化设计的关键,测控系统是性能分析的重要手段。通过系统总体方案设计,确认了系统参数及指标;分析了四桥臂DC/DC拓扑,并基于高端电流采样和隔离采样技术实现了系统电压、电流、功率和频率的采集,设计了功率驱动及单片机控制电路;探讨了适合单片机的MPPT爬坡搜索法软件;给出了基于LabVIEW的上位机操控系统的软件设计实现;搭建了测控系统,进行了MPPT和两种拓扑测控结果对比实验。实验结果表明测控系统达到了设计目标。展开更多
风速-功率曲线广泛应用于风电机组的功率预测、状态监测和故障诊断,其主要构建方法是使用风电场SCADA(supervisory control and data acquisition)数据进行拟合。然而由于弃风限电、仪表故障等因素,SCADA数据中存在部分功率异常数据。...风速-功率曲线广泛应用于风电机组的功率预测、状态监测和故障诊断,其主要构建方法是使用风电场SCADA(supervisory control and data acquisition)数据进行拟合。然而由于弃风限电、仪表故障等因素,SCADA数据中存在部分功率异常数据。为保证拟合结果的准确可靠,应首先剔除这些异常数据。文中提出了一种风电机组功率异常数据剔除方法:首先使用分位数方法剔除距离正常数据较远的离散点,而后结合K-means聚类方法和改进时序方法剔除中部堆积点,最后使用分位数方法和DBSCAN(density-based spatial clustering of applications with noise)聚类方法的组合方法剔除距离正常数据较近的离散点。文中分别使用仿真数据集和实测数据集对分位数方法、基本时序方法及文中方法进行对比测试,结果表明,文中方法最优,对中部堆积点和离散点均有良好剔除效果。展开更多
基金We gratefully acknowledge the support of National Natural Science Foundation of China(NSFC)(Grant No.51977133&Grant No.U2066209).
文摘Randomness and fluctuations in wind power output may cause changes in important parameters(e.g.,grid frequency and voltage),which in turn affect the stable operation of a power system.However,owing to external factors(such as weather),there are often various anomalies in wind power data,such as missing numerical values and unreasonable data.This significantly affects the accuracy of wind power generation predictions and operational decisions.Therefore,developing and applying reliable wind power interpolation methods is important for promoting the sustainable development of the wind power industry.In this study,the causes of abnormal data in wind power generation were first analyzed from a practical perspective.Second,an improved complete ensemble empirical mode decomposition with adaptive noise(ICEEMDAN)method with a generative adversarial interpolation network(GAIN)network was proposed to preprocess wind power generation and interpolate missing wind power generation sub-components.Finally,a complete wind power generation time series was reconstructed.Compared to traditional methods,the proposed ICEEMDAN-GAIN combination interpolation model has a higher interpolation accuracy and can effectively reduce the error impact caused by wind power generation sequence fluctuations.
文摘在中小型永磁同步风力发电机中,桥式整流+DC/DC变换器拓扑具有结构简单的优点,其中DC/DC电路有Boost和Buck两种拓扑,探究两者的最大功率点跟踪(Maximum Power Point Tracking,MPPT)控制性能区别是对其优化设计的关键,测控系统是性能分析的重要手段。通过系统总体方案设计,确认了系统参数及指标;分析了四桥臂DC/DC拓扑,并基于高端电流采样和隔离采样技术实现了系统电压、电流、功率和频率的采集,设计了功率驱动及单片机控制电路;探讨了适合单片机的MPPT爬坡搜索法软件;给出了基于LabVIEW的上位机操控系统的软件设计实现;搭建了测控系统,进行了MPPT和两种拓扑测控结果对比实验。实验结果表明测控系统达到了设计目标。
文摘风速-功率曲线广泛应用于风电机组的功率预测、状态监测和故障诊断,其主要构建方法是使用风电场SCADA(supervisory control and data acquisition)数据进行拟合。然而由于弃风限电、仪表故障等因素,SCADA数据中存在部分功率异常数据。为保证拟合结果的准确可靠,应首先剔除这些异常数据。文中提出了一种风电机组功率异常数据剔除方法:首先使用分位数方法剔除距离正常数据较远的离散点,而后结合K-means聚类方法和改进时序方法剔除中部堆积点,最后使用分位数方法和DBSCAN(density-based spatial clustering of applications with noise)聚类方法的组合方法剔除距离正常数据较近的离散点。文中分别使用仿真数据集和实测数据集对分位数方法、基本时序方法及文中方法进行对比测试,结果表明,文中方法最优,对中部堆积点和离散点均有良好剔除效果。
