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

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 ext...

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Main Authors: Pi-Yun Chen, Kuei-Hsiang Chao, Zih-Yi Wu
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/11/10/2523
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spelling doaj-8f0d02d8728e4114bc99aabb1a3e568a2020-11-25T00:47:08ZengMDPI AGEnergies1996-10732018-09-011110252310.3390/en11102523en11102523An Optimal Collocation Strategy for the Key Components of Compact Photovoltaic Power Generation SystemsPi-Yun Chen0Kuei-Hsiang Chao1Zih-Yi Wu2Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, TaiwanDepartment of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, TaiwanDepartment of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, TaiwanThe 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.http://www.mdpi.com/1996-1073/11/10/2523photovoltaic moduleextension evaluation systemextension theoryphotovoltaic power generation systemoptimal collocation strategy
collection DOAJ
language English
format Article
sources DOAJ
author Pi-Yun Chen
Kuei-Hsiang Chao
Zih-Yi Wu
spellingShingle Pi-Yun Chen
Kuei-Hsiang Chao
Zih-Yi Wu
An Optimal Collocation Strategy for the Key Components of Compact Photovoltaic Power Generation Systems
Energies
photovoltaic module
extension evaluation system
extension theory
photovoltaic power generation system
optimal collocation strategy
author_facet Pi-Yun Chen
Kuei-Hsiang Chao
Zih-Yi Wu
author_sort Pi-Yun Chen
title An Optimal Collocation Strategy for the Key Components of Compact Photovoltaic Power Generation Systems
title_short An Optimal Collocation Strategy for the Key Components of Compact Photovoltaic Power Generation Systems
title_full An Optimal Collocation Strategy for the Key Components of Compact Photovoltaic Power Generation Systems
title_fullStr An Optimal Collocation Strategy for the Key Components of Compact Photovoltaic Power Generation Systems
title_full_unstemmed An Optimal Collocation Strategy for the Key Components of Compact Photovoltaic Power Generation Systems
title_sort optimal collocation strategy for the key components of compact photovoltaic power generation systems
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2018-09-01
description 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.
topic photovoltaic module
extension evaluation system
extension theory
photovoltaic power generation system
optimal collocation strategy
url http://www.mdpi.com/1996-1073/11/10/2523
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