IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i10p4202-d1151284.html
   My bibliography  Save this article

An Overall Linearized Modeling Method and Associated Delay Time Model for the PV System

Author

Listed:
  • Xianping Zhu

    (College of Intelligent Systems Science and Engineering, Hubei Minzu University, Enshi 445000, China)

  • Shaowu Li

    (College of Intelligent Systems Science and Engineering, Hubei Minzu University, Enshi 445000, China)

  • Jingxun Fan

    (College of Intelligent Systems Science and Engineering, Hubei Minzu University, Enshi 445000, China)

Abstract

There are some significant nonlinearity and delay issues in photovoltaic (PV) system circuits. Therefore, it is very difficult for the existing classic linear control theories to be used in PV systems; this hinders the design of the optimal energy dispatch by considering real-time generation power forecasting methods. To solve this problem, an overall linearized model with variable weather parameters (OLM-VWP) of the PV system is proposed on the basis of small-signal modeling. Meanwhile, a corresponding simplified overall linearized model with variable weather parameters (SOLM-VWP) is presented. The SOLM-VWP avoids analyzing delay characteristics of the complex high-order PV system. Moreover, it can reduce hardware cost and computation time, which makes analysis of the transient performance index of the PV system more convenient. In addition, on the basis of the OLM-VWP and SOLM-VWP, a delay-time model with variable weather parameters (DTM-VWP) of the PV system is also proposed. The delay time of the system can be accurately calculated using the DTM-VWP, and it provides a preliminary theoretical basis for carrying out real-time energy scheduling of the PV system. Finally, simulations are implemented using the MATLAB tool, and experiments are conducted. The results verify that the proposed linearization model of the PV system is accurate and reasonable under varying irradiance and temperature conditions. Meanwhile, the results also verify that the proposed SOLM-VWP and DTM-VWP of the PV system are feasible. Additionally, the results show that some transient performance indexes (delay time, rise time, settling time, and peak time) can be solved by means of equations when the circuit parameters and real-time weather parameters are given.

Suggested Citation

  • Xianping Zhu & Shaowu Li & Jingxun Fan, 2023. "An Overall Linearized Modeling Method and Associated Delay Time Model for the PV System," Energies, MDPI, vol. 16(10), pages 1-37, May.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:10:p:4202-:d:1151284
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/10/4202/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/10/4202/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dehghanzadeh, Ahmad & Farahani, Gholamreza & Maboodi, Mohsen, 2017. "A novel approximate explicit double-diode model of solar cells for use in simulation studies," Renewable Energy, Elsevier, vol. 103(C), pages 468-477.
    2. Li, Shaowu, 2016. "Linear equivalent models at the maximum power point based on variable weather parameters for photovoltaic cell," Applied Energy, Elsevier, vol. 182(C), pages 94-104.
    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. Šlamberger, Jan & Schwark, Michael & Van Aken, Bas B. & Virtič, Peter, 2018. "Comparison of potential-induced degradation (PID) of n-type and p-type silicon solar cells," Energy, Elsevier, vol. 161(C), pages 266-276.
    2. Shaowu Li, 2021. "Circuit Parameter Range of Photovoltaic System to Correctly Use the MPP Linear Model of Photovoltaic Cell," Energies, MDPI, vol. 14(13), pages 1-27, July.
    3. Peñaranda Chenche, Luz Elena & Hernandez Mendoza, Oscar Saul & Bandarra Filho, Enio Pedone, 2018. "Comparison of four methods for parameter estimation of mono- and multi-junction photovoltaic devices using experimental data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2823-2838.
    4. Abbassi, Abdelkader & Abbassi, Rabeh & Heidari, Ali Asghar & Oliva, Diego & Chen, Huiling & Habib, Arslan & Jemli, Mohamed & Wang, Mingjing, 2020. "Parameters identification of photovoltaic cell models using enhanced exploratory salp chains-based approach," Energy, Elsevier, vol. 198(C).
    5. Bahrami, Milad & Gavagsaz-Ghoachani, Roghayeh & Zandi, Majid & Phattanasak, Matheepot & Maranzanaa, Gaël & Nahid-Mobarakeh, Babak & Pierfederici, Serge & Meibody-Tabar, Farid, 2019. "Hybrid maximum power point tracking algorithm with improved dynamic performance," Renewable Energy, Elsevier, vol. 130(C), pages 982-991.
    6. Tuyen Nguyen-Duc & Huy Nguyen-Duc & Thinh Le-Viet & Hirotaka Takano, 2020. "Single-Diode Models of PV Modules: A Comparison of Conventional Approaches and Proposal of a Novel Model," Energies, MDPI, vol. 13(6), pages 1-22, March.
    7. Ridha, Hussein Mohammed & Hizam, Hashim & Mirjalili, Seyedali & Othman, Mohammad Lutfi & Ya'acob, Mohammad Effendy & Ahmadipour, Masoud, 2022. "Parameter extraction of single, double, and three diodes photovoltaic model based on guaranteed convergence arithmetic optimization algorithm and modified third order Newton Raphson methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    8. Ma, Xun & Li, Ming & Peng, Ye & Sun, Linyao & Chen, Chuangye, 2022. "Development of thermo–electrical loss model for photovoltaic module with inhomogeneous temperature," Energy, Elsevier, vol. 248(C).
    9. Gu, Wenbo & Ma, Tao & Shen, Lu & Li, Meng & Zhang, Yijie & Zhang, Wenjie, 2019. "Coupled electrical-thermal modelling of photovoltaic modules under dynamic conditions," Energy, Elsevier, vol. 188(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:10:p:4202-:d:1151284. 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.