一种可提高单相光伏并网逆变器功率密度的新型功率解耦拓扑

茆美琴, 宋振宇, 张榴晨

太阳能学报 ›› 2022, Vol. 43 ›› Issue (6) : 33-41.

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太阳能学报 ›› 2022, Vol. 43 ›› Issue (6) : 33-41. DOI: 10.19912/j.0254-0096.tynxb.2020-1153

一种可提高单相光伏并网逆变器功率密度的新型功率解耦拓扑

  • 茆美琴, 宋振宇, 张榴晨
作者信息 +

A NOVEL POWER DECOUPLING TOPOLOGY FOR IMPROVING POWER DENSITY OF SINGLE-PHASE GRID-CONNECTED PV INVERTER

  • Mao Meiqin, Song Zhenyu, Zhang Liuchen
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文章历史 +

摘要

滤波电感、电解电容和散热器是逆变器中体积占比最大的元件,为了提高具备功率解耦功能的单相光伏并网逆变器的功率密度,该文从滤波电感的功率处理的数学函数出发,推导可以减小电感体积、解耦电容体积、减小开关器件损耗的控制原理,演绎出一种提高了单相光伏逆变器功率密度的Boost型功率解耦单相逆变器拓扑。搭建额定功率为750 W的Matlab仿真模型和RT-LAB硬件在环仿真实验模型进行验证,与传统逆变器拓扑相比,该拓扑在实现功率解耦功能的基础上,减小了滤波电感的电感量和开关器件的开关损耗,提高了逆变器的功率密度和运行效率。

Abstract

Inductor, electrolytic capacitor and heat sinks are the largest volume components in the inverter. Starting from the mathematical function of the filter inductor’s power processing, this paper deduces the control method which can reduce the volume of inductor, the volume of decoupling capacitor and the loss of switching devices. According to the control method, a new boost type power decoupling single-phase inverter that improves inverter’s power density is derived. A Matlab simulation model and an RT-LAB hardware-in-the-loop simulation model for a system with a rated power of 750 W are built for verifying the method. Comparing with the traditional inverter topology, this topology reduces the inductance of the filter inductor and the switching losses of the devices on the basis of realizing the power decoupling function. The power density and efficiency of the inverter are improved.

关键词

光伏 / 逆变器拓扑 / 功率解耦 / 功率密度 / 开关损耗

Key words

PV / inverter topology / power decoupling / power density / switching losses

引用本文

导出引用
茆美琴, 宋振宇, 张榴晨. 一种可提高单相光伏并网逆变器功率密度的新型功率解耦拓扑[J]. 太阳能学报. 2022, 43(6): 33-41 https://doi.org/10.19912/j.0254-0096.tynxb.2020-1153
Mao Meiqin, Song Zhenyu, Zhang Liuchen. A NOVEL POWER DECOUPLING TOPOLOGY FOR IMPROVING POWER DENSITY OF SINGLE-PHASE GRID-CONNECTED PV INVERTER[J]. Acta Energiae Solaris Sinica. 2022, 43(6): 33-41 https://doi.org/10.19912/j.0254-0096.tynxb.2020-1153
中图分类号: TM464   

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基金

国家自然科学基金(51677050); 高等学校学科创新引智计划(BP0719039)

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