A Comparative Study of Vector Control and Model Predictive Control Technique for Grid Connected Battery System

Nimat Shamim, Subrina Noureen, A. Bilbao, A. Subburaj, S. Bayne
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Abstract

Advancements made to battery energy storage technologies have led to increasing integration of battery systems with the grid. This paper presents a comparative study of the well-established vector control technique and the model predictive current control technique as applied to the grid connected battery systems. An electrical equivalent model of the battery is modeled and integrated with the grid using a three- phase bidirectional converter. The comparative study is shown for bidirectional flow of power to charge/discharge the battery from the grid. Also, the effects of model predictive control versus vector control technique are analyzed at an event of grid fault. Asymmetrical and symmetrical grid fault is considered for the comparison. All the modeling and simulation is performed in PSCADTM/EMTDCTM. The results are plotted using MATLAB R2017a. The results show that the model predictive control technique performs as good as the vector control technique for a battery connected grid system.
并网电池系统矢量控制与模型预测控制技术的比较研究
电池储能技术的进步使得电池系统与电网的整合程度越来越高。本文对已有的矢量控制技术和模型预测电流控制技术在并网蓄电池系统中的应用进行了比较研究。建立了电池的等效模型,并利用三相双向变换器与电网相结合。对比研究了电网对电池充放电的双向流动功率。同时,分析了模型预测控制与矢量控制在电网故障情况下的效果。考虑了不对称和对称电网故障的比较。所有的建模和仿真都在PSCADTM/EMTDCTM中进行。使用MATLAB R2017a绘制结果。结果表明,模型预测控制技术对电池并网系统的控制效果与矢量控制技术相当。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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