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光伏并网逆变器模型预测电流控制研究

金楠 胡石阳 崔光照 姜素霞

电测与仪表2016,Vol.53Issue(17):55-59,105,6.
电测与仪表2016,Vol.53Issue(17):55-59,105,6.

光伏并网逆变器模型预测电流控制研究

Model-predictive current control research of grid-connected inverters for PV systems

金楠 1胡石阳 1崔光照 1姜素霞1

作者信息

  • 1. 郑州轻工业学院电气信息工程学院,郑州450002
  • 折叠

摘要

Abstract

Through coordinate transformation , the predictive model of the inverter output currents is proposed in the two-phase static αβ-frame.The cost function is used to assess different voltage vectors of the inverter and predict all possible output currents .The voltage vector which minimizes the cost function is selected , and then the corresponding switching state is applied in the next sampling time to track reference currents quickly .The proposed strategy needn't to use the traditional PWM modulator .Only once coordinate transformation is needed to calculate the optimal switching state, so the strategy has small amount of calculation and easy to be implemented .Simulation results indicate hat if reference currents change dynamically , the model predictive current control can track reference currentsquickly .Ifthe light intensity changes ,the model predictive current controlcan track the maximum power point rapidly and the inverter output currentshave low harmonic distortion .The simulation results verify the effectiveness of the proposed control strat-egyby comparing the output waveformunder SVPWM control .

关键词

光伏并网逆变器/模型预测电流控制/αβ静止坐标/评估函数/最优电压矢量

Key words

photovoltaic grid-connected inverters/model-predictive current control/two-phase static αβ-frame/cost function/optimal voltage vector

分类

信息技术与安全科学

引用本文复制引用

金楠,胡石阳,崔光照,姜素霞..光伏并网逆变器模型预测电流控制研究[J].电测与仪表,2016,53(17):55-59,105,6.

基金项目

河南省科技攻关项目(142102210517);郑州轻工业学院博士科研基金 ()

电测与仪表

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