摘要
建立电压源换流器(Voltage Source Converter,VSC)模型对研究风机并网特性具有重要作用。为了解决目前VSC线性化模型对高频电力电子开关器件建模繁琐以及数据驱动模型泛化性差、精度低等问题,提出了一种基于模型与数据混合驱动的VSC等效建模方法。将VSC模型中的比例积分控制环节采用线性化模型进行快速计算,以及脉宽调制环节采用时间卷积网络构建数据模型。同时,将信号分解合成嵌入到数据模型的学习过程中,构建模型数据混合驱动下的VSC深度学习建模框架。算例通过PSCAD仿真数据,给出了永磁直驱同步风机VSC模型的建立过程。采用不同工况下的样本验证了所提方法的可行性与优越性。
Establishing a Voltage Source Converter(VSC)model plays an important role in the study of wind turbine grid-connected characteristics analysis.In order to solve the problem that the VSC linearization model is cumbersome for modeling high-frequency power electronic switching devices,and the fact that the data-driven model has poor generalization and low precision,this paper proposes a VSC equivalent modeling method based on a model-data hybrid drive method.In the VSC model,fast calculation of a proportional-integral control link is done using a linearization model,and then the data model of the PWM link is constructed using a time convolutional network.At the same time,the signal decomposition synthesis is embedded into the learning process of the data model,and the VSC deep learning modeling framework driven by the model-data hybrid is constructed.The establishment process of a VSC model of a permanent magnet direct driven synchronous generator is given by PSCAD simulation data.The feasibility and superiority of the proposed method are verified by samples under different working conditions.
作者
陈剑
王海风
CHEN Jian;WANG Haifeng(State Key Laboratory of Alternate Electric Power Systems with New Energy Resources(North China Electric Power University),Beijing 102206,China;College of Electrical Engineering,Sichuan University,Chengdu 610065,China)
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2021年第2期10-17,共8页
Power System Protection and Control
基金
中央高校基本科研业务费专项基金资助(YJ201654)。
关键词
直驱风机
VSC
混合驱动
时间卷积网络
深度学习
等效建模
permanent magnet synchronous generator(PMSG)
voltage source converter(VSC)
hybrid driven
time convolution network(TCN)
deep learning
equivalent modeling
