提升并联运行并网逆变器效率的功率分配方法

JIANG Weidong

您当前的位置：

首页 >

文章列表页 >

提升并联运行并网逆变器效率的功率分配方法

更新时间：2025-08-13

- 提升并联运行并网逆变器效率的功率分配方法
- Automation of Electric Power Systems Vol. 41, Issue 19, Pages: 120-127(2017)
- 作者机构：
  
  合肥工业大学电气与自动化工程学院,安徽省,合肥市,230009
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2017
- 稿件说明：
移动端阅览
JIANG Weidong. [J]. Automation of electric power systems, 2017, 41(19): 120-127.
DOI：

JIANG Weidong. [J]. Automation of electric power systems, 2017, 41(19): 120-127. DOI：

摘要

针对并联运行逆变器单元转换效率不同引起的功率损耗问题，提出了一种实现系统效率优化的功率分配方法。首先，建立了逆变器单元的功率模型，从理论上证明了该方法可以获得较高的系统效率；其次，通过测量的电气量计算得到系统效率，借助爬山法实现在线寻优；再次，通过MATLAB仿真验证了该功率分配方法的可行性；最后，在实验室搭建两个逆变器并联运行的实验平台，进行相关实验，验证了所提出的优化功率分配方法的可行性和有效性。

Abstract

As parallel connection for multiple inverters can effectively increase the system level

when considering the total power loss caused by different power conversion efficiency

an improved power allocation method is proposed. First

the power model of each inverter is built to prove higher system efficiency can be achieved with the improved power allocation method in theory. Secondly

the system efficiency can be calculated with easily measurable electric parameters to achieve online optimization by adopting the mountaineering method. Thirdly

the feasibility of the improved power allocation method is verified with MATLAB/Simulink software. Finally

the experimental platform of parallel inverters is built in the laboratory to verify the feasibility and effectiveness of this method by experiment.

关键词

Keywords

references

Views

2597

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Optimal Allocation Method of Grid-connected Power for Renewable Energy Based on Newton Iterative Sensitivity Collaboration

Variable-voltage Operation Control Method for Wind Power System with Flexible Low-frequency Transmission

Power Coordinated Control for DC Microgrid with Hydrogen-Storage-Wind Power Considering Hydrogen Production Efficiency Optimization

Related Author

ZHANG Baokun

DENG Junjun

LIN Ni

WANG Zhenpo

GAN Haiqing

YUAN Xiaodong

ZHENG Xin

QI Lei

Related Institution

State Grid Jiangsu Electric Power Co., Ltd.

National Engineering Research Center of Electric Vehicles, Beijing Institute of Technology

School of Electrical Engineering, Yanshan University

Electric Power Research Institute of State Grid Shanghai Municipal Electric Power Company

College of Electrical Engineering, Shanghai University of Electric Power

⁰