Model Predictive control design for switched inductor quasi-Z-source inverter in comparison with the traditional two-stage inverter based on Photovoltaic.

开关电感准Z源逆变器与传统光伏两级逆变器的模型预测控制设计。

基本信息

项目摘要

The shortage in the global fossil fuels and the increase in environmental concern have initiated a major interest for discovering renewable energy sources. PV generation systems have shown the potential to become a main source of electrical power generation for the whole world with powerful and persistent increase. Several power electronic converters have been employed in order to provide AC power to the utility grid. The cost of power electronic systems represents a substantial portion of the overall installation costs. With the development of solar cell technology, the price of solar modules has dropped dramatically. However, the prices for the power converters almost remain the same. Lowering the cost of the power converters has become a very urgent issue for grid connected PV systems.Voltage source inverters (VSI) have been widely used for DC/AC power conversion but due to their limitations, the Z-source inverter (ZSI) was introduced. ZSI has an additional zero vector, shoot-through switching state, which is forbidden in the traditional VSI. The new ZSI advantageously utilizes the shoot through states to boost the DC bus voltage by turning on both upper and lower switches of a phase leg. Therefore, the ZSI can boost the voltage and produce a desired output voltage which is greater than the available DC bus voltage. In addition, the reliability of the inverter is greatly improved because the shoot-through due to misgating or EMI can no longer destroy the inverter. Thus it provides a reliable and efficient single stage structure for buck-boost power conversion. However the ZSI draws a discontinuous current from the DC source, thus it is not suitable for PV applications. Quasi Z-source inverter (qZSI) is an improved version of the classical ZSI which is proposed to replace it with the same limited boost factor. But PV systems have a wide range of output voltage which needs also a high inverter boost range. To increase the boost factor and utilize the advantages of qZSI, the switched inductor qZSI will be designed in this project as a single-stage inverter to interface PV system with the utility grid and the AC loads.The main objective of this project is to realize the model predictive control (MPC) of the new switched inductor qZSI based on PV system. The proposed inverter will be compared with the traditional two-stage inverter in light of inverter efficiency, the requirement of the passive components and voltage and current stress on the power switches. For a fair comparison, two 3 kW inverters will be designed using the same components and evaluated under the same conditions. Moreover, the MPC will be assessed in comparison with the conventional PI controller during the transient and the steady-state operation. At the end a potential, cheaper, simpler, and robust single-stage inverter for PV applications is expected. These new technologies will help increase the solar power in a more efficient and economical way.
全球化石燃料的短缺和人们对环境问题的日益关注,引起了人们对可再生能源的极大兴趣。光伏发电系统已经显示出强大和持续增长的潜力,成为全球发电的主要来源。为了向公用事业电网提供交流电力,已经采用了几个电力电子变流器。电力电子系统的成本占总安装成本的很大一部分。随着太阳能电池技术的发展,太阳能组件的价格大幅下降。然而,电力转换器的价格几乎保持不变。降低功率变流器的成本已经成为光伏并网发电系统的一个非常紧迫的问题。电压型逆变器(VSI)已被广泛用于DC/AC功率转换,但由于其局限性,Z源逆变器(ZSI)被引入。ZSI有一个额外的零矢量,即直通开关状态,这在传统的VSI中是被禁止的。新的ZSI有利地利用直通状态,通过接通相桥的上开关和下开关来提高DC母线电压。因此,ZSI可以提升电压并产生大于可用直流母线电压的所需输出电压。此外,由于误选或EMI引起的穿透不再破坏逆变器,大大提高了逆变器的可靠性。为降压-升压功率变换提供了一种可靠、高效的单级结构。然而,ZSI从直流电源获得不连续的电流,因此它不适合于光伏应用。准Z源逆变器(QZSI)是经典ZSI的一种改进形式,被提出用同样有限的升压因子来代替它。但是光伏系统的输出电压范围很大,这也需要较高的逆变器升压范围。为了提高QZSI的升压系数和利用QZSI的优点,本项目将开关电感QZSI设计为单级逆变器,用于连接光伏系统与电网和交流负载,本项目的主要目标是实现基于光伏系统的新型开关电感QZSI的模型预测控制。从逆变器的效率、对无源元件的要求以及对功率开关的电压和电流应力等方面与传统的两级逆变器进行了比较。为了公平比较,两个3千瓦的逆变器将使用相同的组件进行设计,并在相同的条件下进行评估。此外,还将在暂态和稳态运行时将MPC与常规PI控制器进行比较。最终,一种潜在的、更便宜、更简单和坚固耐用的单级逆变器有望应用于光伏应用。这些新技术将有助于以更高效、更经济的方式增加太阳能发电。

项目成果

期刊论文数量(9)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A comparison of quasi-Z-source inverters and conventional two-stage inverters for PV applications
光伏应用准 Z 源逆变器与传统两级逆变器的比较
  • DOI:
    10.1080/09398368.2017.1317136
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0.5
  • 作者:
    A. Ayad;R. Kennel
  • 通讯作者:
    R. Kennel
Direct model predictive control with an extended prediction horizon for quasi-Z-source inverters
准 Z 源逆变器具有扩展预测范围的直接模型预测控制
Variable switching point predictive current control of quasi-Z-source inverters
Direct Model Predictive Current Control Strategy of Quasi-Z-Source Inverters
  • DOI:
    10.1109/tpel.2016.2610459
  • 发表时间:
    2017-07-01
  • 期刊:
  • 影响因子:
    6.7
  • 作者:
    Ayad, Ayman;Karamanakos, Petros;Kennel, Ralph
  • 通讯作者:
    Kennel, Ralph
Direct model predictive voltage control of quasi-Z-source inverters with LC filters
带 LC 滤波器的准 Z 源逆变器的直接模型预测电压控制
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Professor Dr.-Ing. Ralph Kennel其他文献

Professor Dr.-Ing. Ralph Kennel的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Professor Dr.-Ing. Ralph Kennel', 18)}}的其他基金

Sensorless Control for Linear Electromagnetic Actuators with Permanent Magnet Mover
带永磁动子的线性电磁执行器的无传感器控制
  • 批准号:
    418870390
  • 财政年份:
    2019
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Anisotropy-based Sensorless Control at Excessive Load
过载时基于各向异性的无传感器控制
  • 批准号:
    299463621
  • 财政年份:
    2016
  • 资助金额:
    --
  • 项目类别:
    Research Grants
A high performance Si&SiC based hybrid asymmetrical multilevel cascaded H-bridge converter and its advanced control
高性能硅
  • 批准号:
    280610965
  • 财政年份:
    2016
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Computationally-efficient direct model predictive control of three-level neutral-point clamped back-to-back converters for wind turbinesystems with permanent-magnet synchronous generators
用于永磁同步发电机风力涡轮机系统的三电平中性点钳位背靠背变流器的计算高效直接模型预测控制
  • 批准号:
    267888886
  • 财政年份:
    2015
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Computationally efficient direct model predictive control with long prediction horizons for medium voltage drives.
计算高效的直接模型预测控制,具有针对中压驱动器的长预测范围。
  • 批准号:
    273592357
  • 财政年份:
    2015
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Sensorless control of permanent magnet synchronous machines with multiple saliencies
多凸极永磁同步电机的无传感器控制
  • 批准号:
    247808669
  • 财政年份:
    2014
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Exceeding the Physical Limits of Power Electronics by Inverter Cumulation
通过逆变器累积超越电力电子的物理极限
  • 批准号:
    229044796
  • 财政年份:
    2013
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Direkte Regelung von Doppelwicklungsmaschinen
双绕线机直接控制
  • 批准号:
    220651979
  • 财政年份:
    2012
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Geberlose Drehzahl- und Lagerregelung von Synchronmaschinen im kompletten Drehzahlbereich durch prädiktive Drehmomentregelung ohne Signalinjektion
通过无需信号注入的预测扭矩控制,在整个速度范围内对同步电机进行无传感器速度和轴承控制
  • 批准号:
    204480558
  • 财政年份:
    2011
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Detektion von Mehrfach-Anisotropien zur geberlosen Regelung von Asynchronmaschinen
检测异步电机无传感器控制的多个各向异性
  • 批准号:
    190033837
  • 财政年份:
    2011
  • 资助金额:
    --
  • 项目类别:
    Research Grants

相似海外基金

Formal methods and Koopman-model predictive control
形式化方法和库普曼模型预测控制
  • 批准号:
    23H01434
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Realization of sparse control with model predictive control and guarantee of its performance
模型预测控制稀疏控制的实现及其性能保证
  • 批准号:
    23K03916
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
CRII: OAC: RUI: Real-Time, Mixed-Integer Model Predictive Control via Learned GPU-Acceleration
CRII:OAC:RUI:通过学习 GPU 加速进行实时混合整数模型预测控制
  • 批准号:
    2246022
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Performance Improvement of Massively Parallel Sample-Based Model Predictive Control
大规模并行基于样本的模型预测控制的性能改进
  • 批准号:
    23K03896
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
ECLIPSE: Adaptable Model Predictive Control on a Chip for Personalized and Point-of-Care Plasma Medicine
ECLIPSE:用于个性化和护理点血浆医学的芯片上的自适应模型预测控制
  • 批准号:
    2317629
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
NEW AND SCALABLE PARADIGMS FOR DATA-DRIVEN MODEL PREDICTIVE CONTROL
数据驱动模型预测控制的新的、可扩展的范式
  • 批准号:
    2315963
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Crystallisation optimisation and control using surrogate modelling and adaptive model predictive control
使用代理建模和自适应模型预测控制进行结晶优化和控制
  • 批准号:
    2746484
  • 财政年份:
    2022
  • 资助金额:
    --
  • 项目类别:
    Studentship
Model predictive control of a mixed battery array for electricity grid storage
电网存储混合电池阵列的模型预测控制
  • 批准号:
    RGPIN-2019-04286
  • 财政年份:
    2022
  • 资助金额:
    --
  • 项目类别:
    Discovery Grants Program - Individual
GOALI: Turnkey Model Predictive Control: automated design, model identification, tuning, and monitoring
GOALI:交钥匙模型预测控制:自动化设计、模型识别、调整和监控
  • 批准号:
    2138985
  • 财政年份:
    2022
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Towards A Practical Model Predictive Control Framework for Networked and Distributed Dynamic Systems
面向网络和分布式动态系统的实用模型预测控制框架
  • 批准号:
    RGPIN-2016-05386
  • 财政年份:
    2022
  • 资助金额:
    --
  • 项目类别:
    Discovery Grants Program - Individual
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了