IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i10p2523-d171364.html
   My bibliography  Save this article

An Optimal Collocation Strategy for the Key Components of Compact Photovoltaic Power Generation Systems

Author

Listed:
  • Pi-Yun Chen

    (Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan)

  • Kuei-Hsiang Chao

    (Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan)

  • Zih-Yi Wu

    (Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan)

Abstract

The objective of this study was to develop an optimal evaluation system for collocating photovoltaic (PV) modules and power conditioners by using the extension engineering method. The matter-element model and correlation functions of the extension theory were adopted as the basis of the proposed extension evaluation system, which was then used to develop a multilevel evaluation model for PV modules and PV power conditioners. The extension evaluation system was used to evaluate and test numerous PV modules and power conditioner products that are commonly employed and commercially available in Taiwan. First, a PV module matter-element model was established based on price, power temperature, size, and weight, and a PV power conditioner matter-element model was established based on input voltage range, maximum power point tracking (MPPT) voltage range, number of MPPT units, minimum operating voltage, and maximum input current. Second, the weighting values of the various characteristics in the extension method were determined according to numerous consideration factors of the PV modules and power conditioners. Finally, the values of the degree of correlation between numerous user preferences and the various PV modules and power conditioner brands were calculated using correlation functions to determine the key components of PV power generation systems (PV-PGSs) that corresponded to user preferences. The test results confirmed that the proposed extension evaluation system can determine the optimal collocation for the key components of the PV-PGSs under different user preference settings.

Suggested Citation

  • Pi-Yun Chen & Kuei-Hsiang Chao & Zih-Yi Wu, 2018. "An Optimal Collocation Strategy for the Key Components of Compact Photovoltaic Power Generation Systems," Energies, MDPI, vol. 11(10), pages 1-24, September.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:10:p:2523-:d:171364
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/10/2523/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/10/2523/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Báez-Fernández, Héctor & Ramírez-Beltrán, Nazario D. & Méndez-Piñero, Mayra Ivelisse, 2016. "Selection and configuration of inverters and modules for a photovoltaic system to minimize costs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 16-22.
    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. Kuei-Hsiang Chao & Chen-Hou Ke, 2020. "Fault Diagnosis and Tolerant Control of Three-Level Neutral-Point Clamped Inverters in Motor Drives," Energies, MDPI, vol. 13(23), pages 1-25, November.
    2. Yinxiao Zhu & Moon Keun Kim & Huiqing Wen, 2018. "Simulation and Analysis of Perturbation and Observation-Based Self-Adaptable Step Size Maximum Power Point Tracking Strategy with Low Power Loss for Photovoltaics," Energies, MDPI, vol. 12(1), pages 1-20, December.
    3. Kuei-Hsiang Chao & Long-Yi Chang & Chih-Yao Hung, 2022. "Design and Control of Brushless DC Motor Drives for Refrigerated Cabinets," Energies, MDPI, vol. 15(9), pages 1-28, May.

    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. Tekai Eddine Khalil Zidane & Mohd Rafi Adzman & Mohammad Faridun Naim Tajuddin & Samila Mat Zali & Ali Durusu & Saad Mekhilef, 2020. "Optimal Design of Photovoltaic Power Plant Using Hybrid Optimisation: A Case of South Algeria," Energies, MDPI, vol. 13(11), pages 1-28, June.

    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:11:y:2018:i:10:p:2523-:d:171364. 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.