A Novel Magic Square View Topology of a PV System under Partial Shading Condition

Iysaouy, Lahcen El; Lahbabi, M.; Oumnad, Abdelmajid

doi:10.1016/j.egypro.2018.11.284

Cited by 37 publications

(13 citation statements)

References 14 publications

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“…In the dynamic reconfigurations, the electrical connections are altered, whereas the physical location is changed in the static techniques (Krishna and Moger, 2019a). In the literature, the improvement and comparison of the array reconfigurations techniques have been widely studied (Krishna and Moger, 2019b;Dhanalakshmi and Rajasekar, 2018;Yadav and Mukherjee, 2018;Iysaouy et al, 2019;El-Dein and Kazerani, 2013;Satpathy and Sharma, 2019;Tatabhatla et al, 2019;Deshkar et al, 2015). Krishna and Moger (2019a) presented a review about these strategies of reconfiguration, and a conclusion of this was that the dynamic techniques are more effective than static for improvement of the output power in partial shading conditions, despite being relatively expensive.…”

Section: Introductionmentioning

confidence: 99%

A methodology for prediction and assessment of shading on PV systems

Chepp

Krenzinger

2021

Solar Energy

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Frequently, PV systems are affected by dirt, dust or shadowing from surrounding elements, such as trees and buildings. The shadows can cause partial shading conditions, when the irradiance is not uniform on PV installation, which lead to losses of power. Thus, the shadow prediction is primordial for a better output power estimation and to minimize its losses. The aim of this article is to propose a methodology using intuitive and available tools for shading prediction and losses assessment on PV installations. A study about the shadow pattern and module orientation (portrait and landscape) influence and an analysis of the shading losses on a PV plant were performed in order to demonstrate the applicability of the methodology. The shading effect is drastic when the shading is parallel to the short edge, whereas the effect is lower when it is parallel to the long edge. On the other hand, the losses due to shading and the difference in the position of the modules (landscape or portrait) have a lower impact on the photovoltaic plant case. It was concluded that the methodology is feasible and applicable for shading impact evaluation, despite limitations for large systems due to the simulation time.

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Section: Introductionmentioning

confidence: 99%

A methodology for prediction and assessment of shading on PV systems

Chepp

Krenzinger

2021

Solar Energy

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“…Moreover, the energy generated by PV is environment friendly, simple to experiment, and faster to implement. The efficiency and performance of PV depend on various factors but the disparities in irradiance and temperature are considered as the most influential factors on the PV systems [2]. Many reconfiguration schemes of PV array are used to harvest the maximum output power under these influential factors.…”

Section: Introductionmentioning

confidence: 99%

“…In [2] the comparative study of PV array of size 3×3 is done between SP and TCT architectures using MATLAB/ Simulink systems. The results from the literature show that the TCT architecture is more cable of generating larger output power compared to SP under the effect of shading.…”

Section: Introductionmentioning

confidence: 99%

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Cabling Constraints in PV Array Architecture: Design, Mathematical Model and Cost Analysis

et al. 2020

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In this paper, cabling constraints of different photovoltaic (PV) configurations is addressed in three steps: 1) a cable selection criterion is developed in accordance with metric system defined by American Wire Gauge (AWG), 2) a mathematical model is designed, which estimates the cable length for any array size, and 3) cost functions are devised owing to estimate the cables capital expenditure. The aforementioned steps are developed for Series (S), Parallel (P), Series-Parallel (SP), Total-cross-tied (TCT), Bridge-Link (BL) and HoneyComb (HC). A comprehensive mathematical model is developed for each of the above mentioned architectures in the context of cabling cost versus energy payback time. This cost analysis provides a clear snapshot to the designers of PV plant about the capital investments of cabling system of specific architecture and its potential energy payback time. At the end, a design example for each configuration is presented against an array size of 10×2 PV panels. INDEX TERMS Series-parallel (SP); Bridge-Linked (BL); HoneyComb (HC); Total Cross tied (TCT), Cabling Constraints, Cost Analysis NOMENCLATURE WM Width of module LM Length of module BL Base Length RSP Distance of row spacing ISC Short Circuit Current of PV Module L MM Cable length between two consecutive modules within a string LStr-Str Cable length between two consecutive strings LCab(M_M) Total cable length for module-to-module LCab(Str-Str) Total cable length for string-to-string L RT Extra round trip of cable length to reach inverter θ1 PV Tilt Angle θ2 Solar Elevation Angle NM Number of Modules in a String Nstr Number of Strings in an Array NHC No of Inter Strings Connection in Honey Comb Array IM_M Module-to-module current IStr-Str String-to-string current TCF Temp. Correction Factor TH Highest temperature of installation field (−) Rated current module-to-module (−) Rated current module-to-module CCab(M-M) Cost of cable module-to-module CCab(Str-Str) Cost of cable string-to-string CTotal Total cost of cabling This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.

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“…Futhoshiki puzzle pattern was developed for a

5 \times 5

array and was tested practically with a rooftop solar system and the mismatch losses are decreased significantly [20]. The magic square proposed in [21–23] has remarkably improved output power. The major disadvantage with this magic square pattern is its increase in wire length.…”

Section: Introductionmentioning

confidence: 99%