IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i11p4393-d1158865.html
   My bibliography  Save this article

Three-Leg Quasi-Z-Source Inverter with Input Ripple Suppression for Renewable Energy Application

Author

Listed:
  • Chuanyu Zhang

    (College of Electrical Engineering, Qingdao University, Qingdao 266000, China
    These authors contributed equally to this work.)

  • Chuanxu Cao

    (College of Electrical Engineering, Qingdao University, Qingdao 266000, China
    These authors contributed equally to this work.)

  • Ruiqi Chen

    (Department of Communication Engineering, Beijing Jiaotong University (Weihai), Weihai 264003, China)

  • Jiahui Jiang

    (College of Electrical Engineering, Qingdao University, Qingdao 266000, China)

Abstract

Single-phase inverters are widely employed in renewable energy applications. However, their inherent 2ω-ripple power can substantially affect system performance, leading to fluctuations in the maximum power points (MPP) of photovoltaic (PV) systems and shortening the lifespans of fuel cell (FC) systems. To alleviate input ripple, a three-leg quasi-Z-source inverter (QZSI) and its associated control strategy are proposed. The QZSI consists of a quasi-Z-source network, an H-Bridge inverter, and an active power filter (APF). The active filtering structure comprises filtering capacitors and the third bridge leg. The proposed control strategy consists of three loops: open-loop simple boost control, output voltage control, and 2ω-ripple suppression control. Open-loop simple boost control is utilized for shoot-through state modulation, output voltage control is applied to the two bridge-legs of the H-Bridge, and the additional third bridge-leg adopts a quasi-PR control (QPR) method that injects specific frequency harmonic voltage and suppresses newly generated low-frequency components of the input current. This method effectively avoids the drawbacks of utilizing passive filtering strategies, such as high-value impedance networks, low power density, and weak system stability. A simulation platform of 300W 144VDC/110VAC50Hz is constructed. The simulation results indicate that the addition of the third bridge leg under full load conditions reduces the input-side inductor current ripple ΔI from 1.89 A with passive filtering to 0.513 A, representing a reduction of 72.86%. The second harmonic ripple of the input current is reduced from 18.2% to 4.5%, and the fourth harmonic ripple is reduced from 16.5% to 2.1%. The DC bus voltage ripple ΔV PN falls from 70.75 V to 6.54 V, representing a reduction of 90.76%. The Total Harmonic Distortion (THD) of the output voltage and current are both less than 1%. The simulation results validated the feasibility of the proposed approach.

Suggested Citation

  • Chuanyu Zhang & Chuanxu Cao & Ruiqi Chen & Jiahui Jiang, 2023. "Three-Leg Quasi-Z-Source Inverter with Input Ripple Suppression for Renewable Energy Application," Energies, MDPI, vol. 16(11), pages 1-28, May.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:11:p:4393-:d:1158865
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/11/4393/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/11/4393/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ming Zhang & Yanshuo Liu & Dezhi Li & Xiaoli Cui & Licheng Wang & Liwei Li & Kai Wang, 2023. "Electrochemical Impedance Spectroscopy: A New Chapter in the Fast and Accurate Estimation of the State of Health for Lithium-Ion Batteries," Energies, MDPI, vol. 16(4), pages 1-16, February.
    2. Jing Yuan & Yongheng Yang & Frede Blaabjerg, 2020. "A Switched Quasi-Z-Source Inverter with Continuous Input Currents," Energies, MDPI, vol. 13(6), pages 1-12, March.
    3. Ying-Chieh Chen & Liang-Rui Chen & Ching-Ming Lai & Yuan-Chih Lin & Ting-Jung Kuo, 2020. "Development of a DC-Side Direct Current Controlled Active Ripple Filter for Eliminating the Double-Line-Frequency Current Ripple in a Single-Phase DC/AC Conversion System," Energies, MDPI, vol. 13(18), pages 1-16, September.
    4. Wen, Jianping & Zhao, Dan & Zhang, Chuanwei, 2020. "An overview of electricity powered vehicles: Lithium-ion battery energy storage density and energy conversion efficiency," Renewable Energy, Elsevier, vol. 162(C), pages 1629-1648.
    5. Talha, Muhammad & Raihan, S.R.S. & Rahim, N Abd, 2020. "PV inverter with decoupled active and reactive power control to mitigate grid faults," Renewable Energy, Elsevier, vol. 162(C), pages 877-892.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zizhen Cheng & Li Wang & Yumeng Yang, 2023. "A Hybrid Feature Pyramid CNN-LSTM Model with Seasonal Inflection Month Correction for Medium- and Long-Term Power Load Forecasting," Energies, MDPI, vol. 16(7), pages 1-18, March.
    2. Li, Jing & Zuo, Wei & E, Jiaqiang & Zhang, Yuntian & Li, Qingqing & Sun, Ke & Zhou, Kun & Zhang, Guangde, 2022. "Multi-objective optimization of mini U-channel cold plate with SiO2 nanofluid by RSM and NSGA-II," Energy, Elsevier, vol. 242(C).
    3. Wen, Jianping & Chen, Xing & Li, Xianghe & Li, Yikun, 2022. "SOH prediction of lithium battery based on IC curve feature and BP neural network," Energy, Elsevier, vol. 261(PA).
    4. Maria M. Symeonidou & Effrosyni Giama & Agis M. Papadopoulos, 2021. "Life Cycle Assessment for Supporting Dimensioning Battery Storage Systems in Micro-Grids for Residential Applications," Energies, MDPI, vol. 14(19), pages 1-16, September.
    5. Sherif M. Dabour & Ahmed A. Aboushady & I. A. Gowaid & Mohamed. A. Elgenedy & Mohamed E. Farrag, 2022. "Performance Analysis and Evaluation of Multiphase Split-Source Inverters," Energies, MDPI, vol. 15(22), pages 1-20, November.
    6. Jack Flicker & Jay Johnson & Peter Hacke & Ramanathan Thiagarajan, 2022. "Automating Component-Level Stress Measurements for Inverter Reliability Estimation," Energies, MDPI, vol. 15(13), pages 1-15, July.
    7. E, Shengxin & Cui, Yaxin & Liu, Yuxian & Yin, Huichun, 2023. "Effects of the different phase change materials on heat dissipation performances of the ternary polymer Li-ion battery pack in hot climate," Energy, Elsevier, vol. 282(C).
    8. Yi, Feng & E, Jiaqiang & Zhang, Bin & Zuo, Hongyan & Wei, Kexiang & Chen, Jingwei & Zhu, Hong & Zhu, Hao & Deng, Yuanwang, 2022. "Effects analysis on heat dissipation characteristics of lithium-ion battery thermal management system under the synergism of phase change material and liquid cooling method," Renewable Energy, Elsevier, vol. 181(C), pages 472-489.
    9. Julan Chen & Guangheng Qi & Kai Wang, 2023. "Synergizing Machine Learning and the Aviation Sector in Lithium-Ion Battery Applications: A Review," Energies, MDPI, vol. 16(17), pages 1-22, August.
    10. E, Jiaqiang & Qin, Yisheng & Zhang, Bin & Yin, Huichun & Tan, Yan, 2023. "Effects of heating film and phase change material on preheating performance of the lithium-ion battery pack with large capacity under low temperature environment," Energy, Elsevier, vol. 284(C).
    11. Han, Kunlun & Yang, Kai & Yin, Linfei, 2022. "Lightweight actor-critic generative adversarial networks for real-time smart generation control of microgrids," Applied Energy, Elsevier, vol. 317(C).
    12. Nick Rigogiannis & Ioannis Bogatsis & Christos Pechlivanis & Anastasios Kyritsis & Nick Papanikolaou, 2023. "Moving towards Greener Road Transportation: A Review," Clean Technol., MDPI, vol. 5(2), pages 1-25, June.
    13. Shigui Dong & Na Wang & Xueyan Wang & Zihao Lu, 2023. "Extended Recursive Three-Step Filter for Linear Discrete-Time Systems with Dual-Unknown Inputs," Energies, MDPI, vol. 16(15), pages 1-18, July.
    14. Bashar Aldbaiat & Mutasim Nour & Eyad Radwan & Emad Awada, 2022. "Grid-Connected PV System with Reactive Power Management and an Optimized SRF-PLL Using Genetic Algorithm," Energies, MDPI, vol. 15(6), pages 1-21, March.
    15. García-Triviño, Pablo & Sarrias-Mena, Raúl & García-Vázquez, Carlos A. & Leva, Sonia & Fernández-Ramírez, Luis M., 2023. "Optimal online battery power control of grid-connected energy-stored quasi-impedance source inverter with PV system," Applied Energy, Elsevier, vol. 329(C).
    16. Ming Zhang & Dongfang Yang & Jiaxuan Du & Hanlei Sun & Liwei Li & Licheng Wang & Kai Wang, 2023. "A Review of SOH Prediction of Li-Ion Batteries Based on Data-Driven Algorithms," Energies, MDPI, vol. 16(7), pages 1-28, March.
    17. Pranav Nair & Vinay Vakharia & Himanshu Borade & Milind Shah & Vishal Wankhede, 2023. "Predicting Li-Ion Battery Remaining Useful Life: An XDFM-Driven Approach with Explainable AI," Energies, MDPI, vol. 16(15), pages 1-19, July.
    18. Wang, Gongquan & Kong, Depeng & Ping, Ping & He, Xiaoqin & Lv, Hongpeng & Zhao, Hengle & Hong, Wanru, 2023. "Modeling venting behavior of lithium-ion batteries during thermal runaway propagation by coupling CFD and thermal resistance network," Applied Energy, Elsevier, vol. 334(C).
    19. Calise, Francesco & Cappiello, Francesco Liberato & Cimmino, Luca & Dentice d’Accadia, Massimo & Vicidomini, Maria, 2023. "Renewable smart energy network: A thermoeconomic comparison between conventional lithium-ion batteries and reversible solid oxide fuel cells," Renewable Energy, Elsevier, vol. 214(C), pages 74-95.
    20. Ma, Ying & Yang, Heng & Zuo, Hongyan & Zuo, Qingsong & He, Xiaoxiang & Chen, Wei & Wei, Rongrong, 2023. "EG@Bi-MOF derived porous carbon/lauric acid composite phase change materials for thermal management of batteries," Energy, Elsevier, vol. 272(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:11:p:4393-:d:1158865. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.