Equal Current Sharing Parallelly Connected Interleaved Boost Converter in DC Microgrid using Control Algorithm

S. Vismaya, S. Hema
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Abstract

In this paper, a micro grid based current sharing between parallelly connected second order Boost Converter and Interleaved Boost Converter is proposed. As the output of PV is not predictable, an MPPT based on the Adaptive Neuro Fuzzy Inference System (ANFIS) is used to manage the second order Boost Converter. To offer exact sharing of current between parallel modules in converters, a droop control mechanism is utilized. The PV system’s maximum power is tracked using a PI controller, so as to maintain constant DC link voltage at different temperature conditions. Using a PI assisted Bidirectional battery converter, the voltage of the battery is maintained. The nominal voltage for each converter is modified by comparing each converter’s output current to the total load current. The entire system is validated through a MATLAB simulation.
基于控制算法的直流微电网等共流并联交错升压变换器
本文提出了一种并联二阶升压变换器和交错升压变换器之间基于微电网的电流共享方案。针对PV输出不可预测的特点,采用基于自适应神经模糊推理系统(ANFIS)的MPPT对二阶升压变换器进行管理。为了在变换器中并联模块之间提供精确的电流共享,采用了下垂控制机制。利用PI控制器跟踪光伏系统的最大功率,从而在不同温度条件下保持直流链路电压恒定。利用PI辅助的双向电池转换器,维持电池的电压。通过比较每个转换器的输出电流与总负载电流来修改每个转换器的标称电压。通过MATLAB仿真对整个系统进行了验证。
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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