Comparative Performance Analysis Involving a Three-Phase UPQC Operating With Conventional and Dual/Inverted Power-Line Conditioning Strategies

谐波 电压源 控制理论(社会学) 工程类 三相 电压 电子工程 网格 交流电源 补偿(心理学) 电压暂降 对偶(语法数字) 计算机科学 电能质量 电气工程 控制(管理) 数学 人工智能 心理学 艺术 几何学 文学类 精神分析
作者
Sérgio Augusto Oliveira da Silva,Leonardo Bruno Garcia Campanhol,Guilherme Masquetti Pelz,Vinicius de Souza
出处
期刊:IEEE Transactions on Power Electronics [Institute of Electrical and Electronics Engineers]
卷期号:35 (11): 11652-11665 被引量:32
标识
DOI:10.1109/tpel.2020.2985322
摘要

This article deals with a complete evaluating and comparative analysis involving static and dynamic performances of a three-phase unified power quality conditioner (UPQC) controlled to operate using conventional and dual/inverted compensation strategies for performing active power-line conditioning. In the conventional strategy, the series converter of the UPQC operates as a nonsinusoidal voltage source, while the parallel converter operates as a nonsinusoidal current source. Differently, when the UPQC operates with a dual/inverted strategy, the series converter operates as a sinusoidal current source, while the parallel converter is controlled to act as a sinusoidal voltage source. Although, in theory, the results achieved using the mentioned strategies looks similar, in practical applications there are considerable differences in both static and dynamic performances that must be considered for choosing the best compensation strategy to be adopted. Thus, this article addresses aspects related to the mathematical modeling, control and generation of the control references applied to the UPQC, which are implemented using two three-level neutral-point clamped inverters. Furthermore, the performance of the UPQC operating under static disturbances (grid voltage harmonics/unbalances and load current harmonics), as well as dynamic disturbances (voltage sags/swells and load changes) are extensively tested by means of an experimental setup.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
LinglongCai完成签到 ,获得积分10
2秒前
Mr.Young完成签到,获得积分10
2秒前
FashionBoy应助灰灰采纳,获得10
3秒前
zhaoXIN发布了新的文献求助10
5秒前
7秒前
林海发布了新的文献求助10
7秒前
江荻完成签到 ,获得积分10
9秒前
10秒前
树枝发布了新的文献求助10
12秒前
斯文败类应助嘟嘟图图采纳,获得10
13秒前
13秒前
佳佳发布了新的文献求助10
14秒前
Deepsleep完成签到,获得积分20
14秒前
bkagyin应助热心市民小杨采纳,获得10
15秒前
费费发布了新的文献求助10
17秒前
科研通AI6.3应助树枝采纳,获得10
19秒前
21秒前
23秒前
cym完成签到,获得积分10
24秒前
linlin完成签到 ,获得积分20
25秒前
不安从灵完成签到,获得积分10
26秒前
cc2004bj应助费费采纳,获得60
27秒前
嘟嘟图图发布了新的文献求助10
27秒前
27秒前
wyy发布了新的文献求助10
28秒前
momo完成签到,获得积分10
29秒前
30秒前
善学以致用应助风清扬采纳,获得10
30秒前
31秒前
31秒前
Ye发布了新的文献求助10
34秒前
NexusExplorer应助wyy采纳,获得10
35秒前
36秒前
田様应助和谐寒天采纳,获得10
37秒前
吹琴离舞发布了新的文献求助10
37秒前
Freeasy完成签到 ,获得积分10
38秒前
38秒前
在水一方应助Biofly526采纳,获得30
42秒前
Eddy发布了新的文献求助10
42秒前
LPVV发布了新的文献求助30
42秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6357297
求助须知:如何正确求助?哪些是违规求助? 8171997
关于积分的说明 17206526
捐赠科研通 5412966
什么是DOI,文献DOI怎么找? 2864858
邀请新用户注册赠送积分活动 1842270
关于科研通互助平台的介绍 1690520