摘要
基于配网侧机理动态负荷特点,构建了包含双馈异步发电机的综合负荷数学模型。根据华北电网某节点实测相量测量单元数据,利用总体测辨法进行模型参数辨识。以负荷节点输入电压为综合负荷数学模型的输入量,并以计算电流与实测电流误差最小值作为目标函数,采用遗传算法辨识出风电综合负荷的模型参数。辨识结果体现了负荷中以双馈异步发电机为主体的特征,与负荷特点相吻合,说明辨识方法有效。
Based upon the mechanism of dynamic load in the distribution network side,a comprehensive load mathematic model with double-fed induction generator is built up.According to the bus PMU data at a node of the North China Power Crid,the model load node parameters are identified by using the overall measurement-identification method.In case that the load node voltage as load parameters are input into the mathematic model and minimum difference between calculated current and actually-tested current is used as the objective function,the genetic algorithms is applied to identify the comprehensive load data of the wind generator.The identification results fully reflect the subjective characteristic of load of the double-fed induction generator among other loads,meeting with the load features and showing this identification method valid.
作者
季文伟
张伟玲
JI Wenwei;ZHANG Weiling(Beihai Sea Area Command of Armed Policed Maritime Police Corps;State Grid Shangdong Electric Power Company Huangdao Power Supply Company)
出处
《电机技术》
2020年第1期5-10,共6页
Electrical Machinery Technology
关键词
双馈异步发电机
综合负荷建模
风力发电
PMU数据
参数辨识
double-fed induction generator
establishment of a comprehensive load mathematic model
wind generator
PMU data
parameter identification