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    • 1. 发明申请
    • WIND FARM CONDITION MONITORING METHOD AND SYSTEM
    • 风力农业条件监测方法与系统
    • WO2016086360A1
    • 2016-06-09
    • PCT/CN2014/092813
    • 2014-12-02
    • ABB TECHNOLOGY LTDCHEN, NiyaYU, RongrongCHEN, Yao
    • CHEN, NiyaYU, RongrongCHEN, Yao
    • G01R31/34F03D7/00
    • F03D17/00F03D7/045F03D7/048F05B2260/84G01R31/34G05B23/021G05B23/0254Y02E10/723
    • A wind farm condition monitoring method and system, comprises: acquiring historical SCADA data, and/or historical sensor data received from sensors which are installed in a wind farm, and historical wind turbine status which indicate wind turbines historical status (101); selecting algorithm for all types of historical data sources according to pre-defined basic rules, training different models for different historical data sources to establish relationship between the historical data sources and the historical wind turbine status (102); acquiring real time SCADA data and/or real time sensor data as real time data source, selecting the trained model depending on type of the real time data source, inputting the real time data source to the selected trained model, obtaining the real time wind turbine status (103).
    • 一种风电场状态监测方法和系统,包括:获取历史SCADA数据和/或从安装在风电场中的传感器接收的历史传感器数据,以及指示风力涡轮机历史状态的历史风力涡轮机状态(101); 根据预定义的基本规则为所有类型的历史数据源选择算法,为不同的历史数据源训练不同的模型,建立历史数据源与历史风力发电机状态之间的关系(102); 以实时数据源获取实时SCADA数据和/或实时传感器数据,根据实时数据源的类型选择经过训练的模型,将实时数据源输入到选定的训练模型,获取实时风力发电机 状态(103)。
    • 2. 发明申请
    • WIND TURBINE CONDITION MONITORING METHOD AND SYSTEM
    • 风力涡轮机状态监测方法与系统
    • WO2016077997A1
    • 2016-05-26
    • PCT/CN2014/091425
    • 2014-11-18
    • ABB TECHNOLOGY LTDYU, RongrongCHEN, NiyaCHEN, Yao
    • YU, RongrongCHEN, NiyaCHEN, Yao
    • F03D7/00G01M13/00
    • F03D17/00F05B2260/80F05B2260/83F05B2260/84G06N99/005
    • A wind turbine condition monitoring method and system. The method comprises the following steps: acquiring historical SCADA data, and wind turbine reports corresponding to the historical SCADA data, wherein the historical SCADA data covers operation data of the wind turbine, and wherein the wind turbine reports covers: health condition of wind turbine diagnosed as normal or defective status, and defective component with corresponding fault details if health condition of wind turbine is diagnosed as defective status; model training step: training an overall model for overall diagnosing the wind turbine, and training different individual models for analyzing different components of the wind turbine based on the historical SCADA data and the corresponding wind turbine report, by establishing relationship between the historical SCADA data and the wind turbine report; overall diagnosing step: acquiring real time SCADA data, inputting the real time SCADA data to the trained overall model, obtaining the health condition of the wind turbine from the trained overall model, and performing individual diagnosing step if the trained overall model determines wind turbine as defective status; individual diagnosing step: inputting the real time SCADA data to the trained individual model corresponding to the defective component, and obtaining the fault details of the defective component from the trained individual model corresponding to the defective component. The method can benefit wind turbine operator in terms of saving installation of additional monitoring sensors due to pure SCADA-data-driven technology and accelerating algorithm execution efficiency due to hierarchical concept structure.
    • 风力发电机状况监测方法及系统。 该方法包括以下步骤:获取历史SCADA数据和与历史SCADA数据相对应的风力发电机报告,其中历史SCADA数据涵盖风力涡轮机的运行数据,其中风力涡轮机报告涵盖:诊断的风力涡轮机的健康状况 作为正常或缺陷状态,以及如果风力涡轮机的健康状况被诊断为缺陷状态,则具有相应故障细节的缺陷部件; 模型训练步骤:根据历史SCADA数据和相应的风力发电机报告,通过建立历史SCADA数据与历史SCADA数据之间的关系,对整个风力发电机组的整体诊断情况进行整体模拟,并对不同的风力发电机组成分进行分析。 风力发电机报告; 总体诊断步骤:获取实时SCADA数据,将实时SCADA数据输入到训练有素的整体模型,从训练有素的整体模型中获取风力发电机的健康状况,并且如果训练有素的整体模型将风力发电机确定为 缺陷状态; 单独诊断步骤:将实时SCADA数据输入到与故障组件对应的经过训练的个人模型,并从与缺陷组件对应的经过训练的单独模型中获得缺陷组件的故障细节。 由于采用纯SCADA数据驱动技术,由于分层概念结构,加速了算法执行效率,该方法可以有利于风力发电机运行人员的节省安装附加监控传感器。
    • 3. 发明申请
    • METHOD AND SYSTEM FOR CONTROLLING COOLING SYSTEM OF POWER EQUIPMENT
    • 控制动力设备冷却系统的方法和系统
    • WO2017132981A1
    • 2017-08-10
    • PCT/CN2016/073620
    • 2016-02-05
    • ABB SCHWEIZ AGCHEN, YaoCHEN, NiyaYU, Rongrong
    • CHEN, YaoCHEN, NiyaYU, Rongrong
    • H01F27/08
    • H01F27/08
    • It provides a method for controlling cooling system of a power equipment and a system using the same. The method includes steps of: obtaining a first data set representing operational cost related parameters specific to the power equipment and its cooling system at a series of time intervals of a first load cycle in a history profile; obtaining a second data set representing operational cost related parameters specific to the power equipment and its cooling system at a series of time intervals of a second load cycle in the history profile, where the second load cycle follows the first load cycle; in consideration of the parameters represented by the first data set, through knowledge-based predetermined numerical and/or logical linkages, establishing a third data set representing optimal cooling capacity parameters for the cooling system at the series of time intervals of the first load cycle according to criteria for operational cost optimization of the power equipment; in consideration of the parameters represented by the second data set, through knowledge-based predetermined numerical and/or logical linkages, establishing a fourth data set representing optimal cooling capacity parameters for the cooling system at the series of time intervals of the second load cycle according to criteria for operational cost optimization of the power equipment; establishing a fifth data set representing a cooling capacity parameter difference between the established cooling capacity parameters concerning the first load cycle and the second load cycle; establishing a sixth data set representing cooling capacity parameters for the cooling system at a series of time intervals of a present load cycle by computationally correcting the established cooling capacity parameter concerning the time intervals of the second cycle load with use of the cooling capacity parameter difference; and controlling the cooling system to operate at a series of time intervals of the present load cycle at the established cooling capacity parameters concerning the present load cycle represented by the sixth data set.
    • 提供了一种用于控制电力设备的冷却系统的方法和使用该方法的系统。 该方法包括以下步骤:在历史简档中以第一加载周期的一系列时间间隔获得表示与该电力设备及其冷却系统相关的特定于运行成本的参数的第一数据集; 在所述历史简档中的第二加载周期的一系列时间间隔处获得表示所述电力设备及其冷却系统特有的与运行成本相关的参数的第二数据集,其中所述第二加载周期遵循所述第一加载周期; 考虑到由第一数据集表示的参数,通过基于知识的预定数值和/或逻辑链接,建立第三数据集,其表示在第一负载循环的一系列时间间隔处针对冷却系统的最佳冷却能力参数, 以电力设备的运营成本优化标准; 考虑到由第二数据集表示的参数,通过基于知识的预定数值和/或逻辑链接,建立第四数据集,其表示在第二负载循环的一系列时间间隔处针对冷却系统的最佳冷却能力参数, 以电力设备的运营成本优化标准; 建立代表关于所述第一负载循环和所述第二负载循环的所述已建立的冷却能力参数之间的冷却能力参数差异的第五数据集; 通过使用所述冷却能力参数差计算校正关于所述第二循环负荷的时间间隔的所述建立的冷却能力参数,在当前负荷循环的一系列时间间隔处建立表示所述冷却系统的冷却能力参数的第六数据集; 并且控制冷却系统以当前负载循环的一系列时间间隔在关于由第六数据组表示的当前负载循环的既定冷却能力参数下运行。
    • 4. 发明申请
    • METHOD AND SYSTEM FOR CONTROLLING COOLING SYSTEM OF POWER EQUIPMENT
    • 控制动力设备冷却系统的方法和系统
    • WO2017088172A1
    • 2017-06-01
    • PCT/CN2015/095788
    • 2015-11-27
    • ABB SCHWEIZ AGCHEN, YaoCHEN, NiyaYU, Rongrong
    • CHEN, YaoCHEN, NiyaYU, Rongrong
    • G06F9/44
    • H01F27/08H01F27/33
    • It is therefore an objective of the invention to provide a method for controlling cooling system of a power equipment and a system using the same. The method includes obtaining a first data set representing operational cost related parameters specific to the power equipment and its cooling system forecasted for a series of time intervals of present load cycle in consideration of a second data set representing operational condition related parameters for the power equipment forecasted for a series of time intervals of present load cycle; in consideration of the parameters represented by the first data set, through knowledge-based predetermined numerical and/or logical linkages, establishing a third data set representing cooling capacity parameters for the cooling system at the series of time intervals of the present load cycle according to criteria for operational cost optimization of the power equipment and its cooling system for the present load cycle; and in the present load cycle, controlling the cooling system to operate at the cooling capacity parameters at the series of time intervals represented by the established third data set. By considering the correlations between different time intervals into and making the cooling optimization valid not only at the specific time interval but also in an entire load cycle, the cooling capacities in the next at least one load cycle is optimized.
    • 因此,本发明的目的是提供一种用于控制动力设备的冷却系统的方法和使用该方法的系统。 该方法包括考虑代表预测的电力设备的运行条件相关参数的第二数据集,获得表示针对当前负载循环的一系列时间间隔预测的针对电力设备及其冷却系统特定的运行成本相关参数的第一数据集 对于当前负载循环的一系列时间间隔; 考虑到由第一数据集表示的参数,通过基于知识的预定数值和/或逻辑链接,建立第三数据集,该第三数据集表示在当前负载循环的一系列时间间隔处的冷却系统的冷却能力参数,根据 针对当前负载循环的动力设备及其冷却系统的运营成本优化标准; 并且在当前负载循环中,控制冷却系统以由所建立的第三数据集表示的一系列时间间隔处的冷却能力参数运行。 通过考虑不同时间间隔之间的相关性,并且使冷却优化不仅在特定时间间隔而且在整个负载循环中都有效,则在下一个至少一个负载循环中的冷却能力被优化。
    • 8. 发明申请
    • WIND FARM AND METHOD AND CONTROLLER FOR FEEDING THE SAME
    • 风力农场和用于饲喂它的方法和控制器
    • WO2018076236A1
    • 2018-05-03
    • PCT/CN2016/103578
    • 2016-10-27
    • ABB SCHWEIZ AGYU, RongrongYAO, DaweiLI, ChunCHEN, NiyaZHANG, Yan
    • YU, RongrongYAO, DaweiLI, ChunCHEN, NiyaZHANG, Yan
    • H02J3/46
    • A method for feeding a grid by a group of wind turbines (WT1, WT2, WT3, WT4, WT5) in a wind farm and controller (10) and wind farm using the same is provided. The method includes: (a) obtaining first real-time SCADA data and first real-time constant variables concerning each of the wind turbines (WT1, WT2, WT3, WT4, WT5) in the group for a first time point, and first calculating fatigue degree of the wind turbine using the obtained first real-time SCADA data and the first real-time constant variables thereof; and (b) first distributing the grid load among the wind turbines (WT1, WT2, WT3, WT4, WT5) in the group using the calculated fatigue degrees thereof. By having the solutions as mention above, during the operation period of "Crack Generation", it provides output data indicative of a load distribution among the wind turbines (WT1, WT2, WT3, WT4, WT5) of the wind farm in relation to the fatigue degrees of the wind turbines (WT1, WT2, WT3, WT4, WT5). This allows achieving an optimal load distribution among the wind turbines from time to time (i.e. at each execution cycle thereof) always taking into account the fatigue degrees of the wind turbines (WT1, WT2, WT3, WT4, WT5), which represent the operating conditions of the wind turbine prior to occurrence of defect. During "crack generation" operation period of wind turbines, this is helpful for controlling in a mode designed based on fatigue minimization so as to postpone defect occurrence as much as possible which is able to extend lifetime of wind farm with fixed capital cost.
    • 提供了一种由风力农场和控制器(10)中的一组风力涡轮机(WT1,WT2,WT3,WT4,WT5)馈送电网的方法以及使用该方法的风力发电场。 该方法包括:(a)在第一时间点获得关于该组中的每个风力涡轮机(WT1,WT2,WT3,WT4,WT5)的第一实时SCADA数据和第一实时常数变量,并且第一计算 使用所获得的第一实时SCADA数据及其第一实时常数变量来计算风力涡轮机的疲劳程度; (b)首先使用计算出的疲劳度来分配组中的风力涡轮机(WT1,WT2,WT3,WT4,WT5)之中的电网负载。 通过具有上述解决方案,在“裂纹产生”的操作期间,其提供指示风力发电场的风力涡轮机(WT1,WT2,WT3,WT4,WT5)中的负载分布的输出数据, 风力涡轮机的疲劳度(WT1,WT2,WT3,WT4,WT5)。 这允许总是考虑风力涡轮机(WT1,WT2,WT3,WT4,WT5)的疲劳程度来实现风力涡轮机之间不时的最佳负载分配(即,在其每个执行周期) 在发生缺陷之前风力涡轮机的状况。 在“裂缝产生”期间, 这有助于在基于疲劳最小化设计的模式下进行控制,从而尽可能延迟缺陷的发生,从而能够延长固定资本成本的风电场寿命。