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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
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    References listed on IDEAS

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    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.
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    Cited by:

    1. 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.
    2. 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.
    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.

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