IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i12p2176-d123595.html
   My bibliography  Save this article

Modeling and Stability Analysis of a Single-Phase Two-Stage Grid-Connected Photovoltaic System

Author

Listed:
  • Liying Huang

    (School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China)

  • Dongyuan Qiu

    (School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China)

  • Fan Xie

    (School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China)

  • Yanfeng Chen

    (School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China)

  • Bo Zhang

    (School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China)

Abstract

The stability issue of a single-phase two-stage grid-connected photovoltaic system is complicated due to the nonlinear v - i characteristic of the photovoltaic array as well as the interaction between power converters. Besides, even though linear system theory is widely used in stability analysis of balanced three-phase systems, the application of the same theory to single-phase systems meets serious challenges, since single-phase systems cannot be transformed into linear time-invariant systems simply using Park transformation as balanced three-phase systems. In this paper, (1) the integrated mathematical model of a single-phase two-stage grid-connected photovoltaic system is established, in which both DC-DC converter and DC-AC converter are included also the characteristic of the PV array is considered; (2) an observer-pattern modeling method is used to eliminate the time-varying variables; and (3) the stability of the system is studied using eigenvalue sensitivity and eigenvalue loci plots. Finally, simulation results are given to validate the proposed model and stability analysis.

Suggested Citation

  • Liying Huang & Dongyuan Qiu & Fan Xie & Yanfeng Chen & Bo Zhang, 2017. "Modeling and Stability Analysis of a Single-Phase Two-Stage Grid-Connected Photovoltaic System," Energies, MDPI, vol. 10(12), pages 1-14, December.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:2176-:d:123595
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/12/2176/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/10/12/2176/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Federica Cucchiella & Idiano D’Adamo & Massimo Gastaldi, 2017. "Economic Analysis of a Photovoltaic System: A Resource for Residential Households," Energies, MDPI, vol. 10(6), pages 1-15, June.
    2. Vincenzo Franzitta & Aldo Orioli & Alessandra Di Gangi, 2016. "Assessment of the Usability and Accuracy of the Simplified One-Diode Models for Photovoltaic Modules," Energies, MDPI, vol. 9(12), pages 1-41, December.
    3. Ram, J. Prasanth & Babu, T. Sudhakar & Rajasekar, N., 2017. "A comprehensive review on solar PV maximum power point tracking techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 826-847.
    4. Xiaofei Li & Chunsen Tang & Xin Dai & Aiguo Patrick Hu & Sing Kiong Nguang, 2017. "Bifurcation Phenomena Studies of a Voltage Controlled Buck-Inverter Cascade System," Energies, MDPI, vol. 10(5), pages 1-13, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mi Dong & Xiaoyu Tian & Li Li & Dongran Song & Lina Wang & Miao Zhao, 2018. "Model-Based Current Sharing Approach for DCM Interleaved Flyback Micro-Inverter," Energies, MDPI, vol. 11(7), pages 1-21, June.
    2. Wilfried van Sark, 2019. "Photovoltaic System Design and Performance," Energies, MDPI, vol. 12(10), pages 1-6, May.
    3. Fan Xie & Zhenxiong Luo & Dongyuan Qiu & Bo Zhang & Yanfeng Chen & Liying Huang, 2019. "Study on a Simplified Structure of a Two-Stage Grid-Connected Photovoltaic System for Parameter Design Optimization," Energies, MDPI, vol. 12(11), pages 1-16, June.
    4. Abdelali El Aroudi & Mohamed Al-Numay & Germain Garcia & Khalifa Al Hossani & Naji Al Sayari & Angel Cid-Pastor, 2018. "Analysis of Nonlinear Dynamics of a Quadratic Boost Converter Used for Maximum Power Point Tracking in a Grid-Interlinked PV System," Energies, MDPI, vol. 12(1), pages 1-23, December.
    5. Yoon-Geol Choi & Hyeon-Seok Lee & Bongkoo Kang & Su-Chang Lee & Sang-Jin Yoon, 2019. "Compact Single-Stage Micro-Inverter with Advanced Control Schemes for Photovoltaic Systems," Energies, MDPI, vol. 12(7), pages 1-15, March.
    6. Luís F. N. Lourenço & Renato M. Monaro & Maurício B. C. Salles & José R. Cardoso & Loïc Quéval, 2018. "Evaluation of the Reactive Power Support Capability and Associated Technical Costs of Photovoltaic Farms’ Operation," Energies, MDPI, vol. 11(6), pages 1-19, June.
    7. Angelo Lunardi & Luís F. Normandia Lourenço & Enkhtsetseg Munkhchuluun & Lasantha Meegahapola & Alfeu J. Sguarezi Filho, 2022. "Grid-Connected Power Converters: An Overview of Control Strategies for Renewable Energy," Energies, MDPI, vol. 15(11), pages 1-33, June.

    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. Rezk, Hegazy & AL-Oran, Mazen & Gomaa, Mohamed R. & Tolba, Mohamed A. & Fathy, Ahmed & Abdelkareem, Mohammad Ali & Olabi, A.G. & El-Sayed, Abou Hashema M., 2019. "A novel statistical performance evaluation of most modern optimization-based global MPPT techniques for partially shaded PV system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    2. Lobaccaro, G. & Croce, S. & Lindkvist, C. & Munari Probst, M.C. & Scognamiglio, A. & Dahlberg, J. & Lundgren, M. & Wall, M., 2019. "A cross-country perspective on solar energy in urban planning: Lessons learned from international case studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 209-237.
    3. Lu, Qing & Yu, Hao & Zhao, Kangli & Leng, Yajun & Hou, Jianchao & Xie, Pinjie, 2019. "Residential demand response considering distributed PV consumption: A model based on China's PV policy," Energy, Elsevier, vol. 172(C), pages 443-456.
    4. D’Adamo, Idiano & Falcone, Pasquale Marcello & Gastaldi, Massimo & Morone, Piergiuseppe, 2020. "The economic viability of photovoltaic systems in public buildings: Evidence from Italy," Energy, Elsevier, vol. 207(C).
    5. Ashish Kumar Singhal & Narendra Singh Beniwal & Khalid Almutairi & Joshuva Arockia Dhanraj & Ali Mostafaeipour & Alibek Issakhov & Prem Kumar Chaurasiya & Hossein Goudarzi & Vinod Kumar Singh, 2021. "Experimental Analysis of Modified DC-P&O Technique with Arm Controller for a Stand-Alone 40 W PV System," Energies, MDPI, vol. 14(19), pages 1-18, September.
    6. Priya, K. & Sathishkumar, K. & Rajasekar, N., 2018. "A comprehensive review on parameter estimation techniques for Proton Exchange Membrane fuel cell modelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 121-144.
    7. Vavilapalli, Sridhar & Umashankar, S. & Sanjeevikumar, P. & Ramachandaramurthy, Vigna K. & Mihet-Popa, Lucian & Fedák, Viliam, 2018. "Three-stage control architecture for cascaded H-Bridge inverters in large-scale PV systems – Real time simulation validation," Applied Energy, Elsevier, vol. 229(C), pages 1111-1127.
    8. Wang, Zhaohua & Li, Yi & Wang, Ke & Huang, Zhimin, 2017. "Environment-adjusted operational performance evaluation of solar photovoltaic power plants: A three stage efficiency analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1153-1162.
    9. Xiaoyang Song & Yaohuan Huang & Chuanpeng Zhao & Yuxin Liu & Yanguo Lu & Yongguo Chang & Jie Yang, 2018. "An Approach for Estimating Solar Photovoltaic Potential Based on Rooftop Retrieval from Remote Sensing Images," Energies, MDPI, vol. 11(11), pages 1-14, November.
    10. Pillai, Dhanup S. & Rajasekar, N., 2018. "Metaheuristic algorithms for PV parameter identification: A comprehensive review with an application to threshold setting for fault detection in PV systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3503-3525.
    11. Belhachat, Faiza & Larbes, Cherif, 2017. "Global maximum power point tracking based on ANFIS approach for PV array configurations under partial shading conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 875-889.
    12. J. C. Teo & Rodney H. G. Tan & V. H. Mok & Vigna K. Ramachandaramurthy & ChiaKwang Tan, 2018. "Impact of Partial Shading on the P-V Characteristics and the Maximum Power of a Photovoltaic String," Energies, MDPI, vol. 11(7), pages 1-22, July.
    13. Ezhilmaran Ranganathan & Rajasekar Natarajan, 2022. "Spotted Hyena Optimization Method for Harvesting Maximum PV Power under Uniform and Partial-Shade Conditions," Energies, MDPI, vol. 15(8), pages 1-26, April.
    14. Luigi Dolores & Maria Macchiaroli & Gianluigi De Mare, 2022. "Financial Impacts of the Energy Transition in Housing," Sustainability, MDPI, vol. 14(9), pages 1-17, April.
    15. Coria, Gustavo & Penizzotto, Franco & Pringles, Rolando, 2019. "Economic analysis of photovoltaic projects: The Argentinian renewable generation policy for residential sectors," Renewable Energy, Elsevier, vol. 133(C), pages 1167-1177.
    16. Nubia Ilia Ponce de León Puig & Leonardo Acho & José Rodellar, 2018. "Design and Experimental Implementation of a Hysteresis Algorithm to Optimize the Maximum Power Point Extracted from a Photovoltaic System," Energies, MDPI, vol. 11(7), pages 1-24, July.
    17. Ana García-Garre & Antonio Gabaldón & Carlos Álvarez-Bel & María Del Carmen Ruiz-Abellón & Antonio Guillamón, 2018. "Integration of Demand Response and Photovoltaic Resources in Residential Segments," Sustainability, MDPI, vol. 10(9), pages 1-31, August.
    18. Hamza Gribiss & Mohammad Mohsen Aghelinejad & Farouk Yalaoui, 2023. "Configuration Selection for Renewable Energy Community Using MCDM Methods," Energies, MDPI, vol. 16(6), pages 1-23, March.
    19. Wojciech Luboń & Grzegorz Pełka & Mirosław Janowski & Leszek Pająk & Michał Stefaniuk & Jarosław Kotyza & Paweł Reczek, 2020. "Assessing the Impact of Water Cooling on PV Modules Efficiency," Energies, MDPI, vol. 13(10), pages 1-13, May.
    20. Chen, Zhicong & Yu, Hui & Luo, Linlu & Wu, Lijun & Zheng, Qiao & Wu, Zhenhui & Cheng, Shuying & Lin, Peijie, 2021. "Rapid and accurate modeling of PV modules based on extreme learning machine and large datasets of I-V curves," Applied Energy, Elsevier, vol. 292(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:10:y:2017:i:12:p:2176-:d:123595. 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.