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CN203574387U 基于小脑模型神经网络PID控制的风电机组软并网控制系统 有权

基于小脑模型神经网络PID控制的风电机组软并网控制系统
摘要：
一种基于小脑模型神经网络PID控制的风电机组软并网控制系统其特征在于它包括监测单元、软并网装置和控制单元；其优越性在于：具有较好的稳定性、实时性；适用于不同风速下的风电机并网。对大容量的兆瓦级风电机组的并网同样适用。
摘要（英）：

The utility model relates to a wind turbine generator system soft grid connected control system based on cerebellar model nerve network PID control. The wind turbine generator system soft grid connected control system based on cerebellar model nerve network PID control is characterized by comprising a monitoring unit, a soft grid connected device and a control unit. The wind turbine generator system soft grid connected control system based on cerebellar model nerve network PID control is advantaged in that the wind turbine generator system soft grid connected control system has properties of relatively good stability and timeliness, is applicable to grid connection of a wind turbine generator under different wind speeds and is further applicable to grid connection of a large-capacity megawatt grade wind turbine generator system.

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