Reconfiguration solution for shaded PV panels using switching control

Tabanjat, Abdulkader; Becherif, Mohamed; Hissel, Daniel

doi:10.1016/j.renene.2014.09.041

Cited by 91 publications

(29 citation statements)

References 23 publications

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“…The short-circuit current (I SCSom ) together with the open-circuit voltage (V OCSom ) to a shaded PV cell is obtained by Equations (9) and (10).…”

Section: Influence Of Shading On Electrical Parametersmentioning

confidence: 99%

“…The effect of shading on PV systems is related to the type of configuration, the position, and the number of shaded modules in accordance to studies on the shading, which range from the assessment and quantification of shading effects on photovoltaic systems [1][2][3][4][5][6][7][8] to strategies to minimize degradation of the energy produced in shady photovoltaic systems. [9][10][11][12][13][14] The main contribution of this paper is in solving, evaluating, and identifying the relationship between the position and the number of shaded modules versus the power losses. Furthermore, the negative effects of partial shading of PV module connections have been evaluated from the equations of a PV cell and their combinations.…”

Section: Introductionmentioning

confidence: 99%

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Shading position effects on photovoltaic panel output power

Vicente

Simões

et al. 2019

Int Trans Electr Energ Syst

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Summary The application of photovoltaic systems in urban environments is affected by partial shading, which causes decreasing converted power. The relationship between the position and the number of shaded modules versus the energy captured by a photovoltaic panel under degraded conditions has not been explored. This paper shows a novel approach that identifies and establishes the relationship and relevant conditions to the partial shading of photovoltaic module connections. The methodology consists of the analytical examination of the electrical parameters of a photovoltaic cell and connections of these cells under shaded conditions. In this work, a computational analysis of the photovoltaic cell, module, and panel under shading conditions using electric modeling for the solar cells is proposed. There are experimental results confirming the analytical and computational methodology carried out with identification of the relationship between the shading position over the photovoltaic panel and its generated power. It was verified that the magnitude of the negative effects caused by shading, that is, loss in output power, is directly and mainly related to the position of shaded modules in the shaded panel. The number of shaded modules causes, on a minority basis, a decrease on the output power.

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“…The short-circuit current (I SCSom ) together with the open-circuit voltage (V OCSom ) to a shaded PV cell is obtained by Equations (9) and (10).…”

Section: Influence Of Shading On Electrical Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Shading position effects on photovoltaic panel output power

Vicente

Simões

et al. 2019

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…Switching control has been used in Ref. [33] to perform dynamic reconfiguration of PV array subjected to shadow conditions such that the maximum output power is maximized. An improved Sudoku pattern has been presented to rearrange the shaded PV panels connected in TCT for enhancing the array output power [34], [35].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Grey Wolf Optimizer for Optimal Design of Switching Matrix for Shaded PV array Dynamic Reconfiguration

et al. 2020

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One of the worst negative phenomena faced by photovoltaic (PV) array is the operation under the shadow phenomenon, which significantly affects the generated power. Multiple local maximum power point (MPP) and unique global MPP are generated from the shaded array. Therefore, regular dispersion of the shadow falling on the PV array surface is a vital issue to extract the GMP via reconfiguration of the shaded modules in the array. This paper proposes a recent approach based on Multi-objective grey wolf optimizer (MOGWO) to reconfigure the shaded PV array optimally. The main objective of the proposed MOGWO is providing the optimal structure for the switching matrix to minimize the row current difference and maximize the output power. The benefits of the proposed strategy is performing a dynamic reconfiguration process which closes to the reality. The proposed method is validated across 9 × 9 PV array with six shade patterns. MOGWO schemes results are compared with TCT and modified SuDoKu based on several statistical metrics. The comparison reveals the superiority of MOGWO in tackling the multi-peak issue in the P-V characteristics with harvesting the highest power levels. INDEX TERMS Multi-objective grey wolf optimizer; grey wolf optimizer; Total-cross-tied; PV reconfiguration, partial shading .

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“…In [19], an offline rearrangement approach was devised to make aged PV systems more energy efficient by inspecting J 2020, 3 34 the possible options for PV module rearrangement based on the identification of the maximum power point. Meanwhile, in [1] the ideal arrangement for balancing and attenuating the aging process of switches in the switching matrix was assessed on the basis of the Munkres algorithm [20,21]. Issues related to the restructuring of modules in PV arrays of different sizes can be managed via additional approaches proven to be efficient, although these are computationally too complex and time-consuming because they involve a search of every possible manner, in which restructuring can be achieved [22].…”

Section: Introductionmentioning

confidence: 99%

A Novel PV Array Reconfiguration Algorithm Approach to Optimising Power Generation across Non-Uniformly Aged PV Arrays by Merely Repositioning

Alkahtani

Kuka

et al. 2020

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Photovoltaic (PV) module working conditions lack consistency and PV array power outputs fluctuate due to the non-uniform impact that aging has on various PV modules in a PV array. No assessment has been conducted on the energy potential of a non-uniform PV array, despite the fact that the maximum power point (MPP) can be tracked by global maximum power point tracking (GMPPT). Therefore, the present work undertakes such an assessment by devising an algorithm to optimise the PV array electrical structure as the PV modules undergo aging in a non-uniform way. To enable PV arrays with non-uniform aging to produce as much power as possible and to make maintenance more cost-effective, the work puts forward a novel approach for reconfiguring PV arrays, where the PV modules are repositioned by retaining the aged PV modules. By this approach, the selection of the best reconfiguration topology necessitates the information on the electrical parameters associated with the PV modules in an array. Furthermore, the non-uniform aging of the PV modules can engender an incompatibility effect, which can be diminished in the proposed algorithm through iterative sorting of the modules in a hierarchical pattern. To determine how effective the method is for PV arrays with non-uniform aging and of different sizes, such as 3 × 4, 5 × 8 and 7 × 8 arrays, computer simulation and analysis have been conducted, with findings indicating that, irrespective of dimensions, PV arrays with non-uniform aging can have improved power yield.

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Reconfiguration solution for shaded PV panels using switching control

Cited by 91 publications

References 23 publications

Shading position effects on photovoltaic panel output power

Shading position effects on photovoltaic panel output power

Multi-Objective Grey Wolf Optimizer for Optimal Design of Switching Matrix for Shaded PV array Dynamic Reconfiguration

A Novel PV Array Reconfiguration Algorithm Approach to Optimising Power Generation across Non-Uniformly Aged PV Arrays by Merely Repositioning

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