Shading position effects on photovoltaic panel output power

Vicente, Paula dos Santos; Vicente, Eduardo Moreira; Simões, Marcelo Godoy; Ribeiro, Enio Roberto

doi:10.1002/2050-7038.12163

Cited by 5 publications

(3 citation statements)

References 19 publications

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“…Where 'V t ' is the thermal voltage, 'I ph ', 'I D ' are photogenerated, and diode current, 'I o ' and 'I PV ' are reverse saturation and PV cell current, 'R S ' and 'R P ' are series and shunt resistances, 'N SS ' and 'N PP ' refers to several series and parallel connected cells. 34…”

Section: Modelling Of Solar Photovoltaic Cellmentioning

confidence: 99%

“…Applying Kirchoff's Current Law (KCL), the current at node “x” can be expressed as:

I_{PV} goodbreak= N_{pp} ({}, I_{ph} goodbreak- I_{o} ((), \exp ((), \frac{{normalV}_{PV} + {normalI}_{PV} {normalR}_{normalS}}{{normalV}_{normalt} {normalN}_{SS}}) goodbreak- 1)) goodbreak- ((), \frac{{normalV}_{PV} + {normalI}_{PV} {normalR}_{normalS}}{R_{P}})

Where ‘V t ’ is the thermal voltage, ‘I ph ’, ‘I D ’ are photogenerated, and diode current, ‘I o ’ and ‘I PV ’ are reverse saturation and PV cell current, ‘R S ’ and ‘R P ’ are series and shunt resistances, ‘N SS ’ and ‘N PP ’ refers to several series and parallel connected cells 34 …”

Section: Modelling Of Solar Photovoltaic Cellmentioning

confidence: 99%

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Enhancing the power output of partially shaded PV array using column shift right‐left panel arrangement based array reconfiguration technique

Venkateswari

Rajasekar

2021

Int Trans Electr Energ Syst

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Array reconfiguration techniques applied for partially shaded photovoltaic array yield maximum power output via row current minimization and shade dispersion. Both static and dynamic reconfiguration techniques are utilized for power maximization. Noticeable advantages like one time rearrangement, effective shade dispersion, and easy steps made physical or static more popular. With profound necessity to simplify the mathematical procedure and reduced complexity, in this work, a highly competent Column shift Right-Left panel arrangement based array reconfiguration technique is proposed. It follows simple relocation steps to disperse even complex shade occurrences. To justify the versatility of the method, three different shade cases together with economy analysis and qualitative comparative study with five different existing methods including Total Cross Tied, Su Do Ku, Column method, Dominance Square, Improved Su Do Ku and Sky Scrapper methods are analysed. As a result of its implementation, power generation has aroused to a maximum of 13.47%, 4.35%, 14.01%, 9.97%, 3.45%, and 2.43%, for Top Left Corner shade case compared to conventional techniques. Further, economy analysis indicates that a maximum revenue is generated with proposed work. To strengthen the performance analysis, an experimental study on 3 Â 3 PV array based on six performance metrics is carried out. For all the test cases conducted, an effective shade dispersion with the proposed method is achieved with the highest power output.

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Section: Modelling Of Solar Photovoltaic Cellmentioning

confidence: 99%

“…Applying Kirchoff's Current Law (KCL), the current at node “x” can be expressed as:

I_{PV} goodbreak= N_{pp} ({}, I_{ph} goodbreak- I_{o} ((), \exp ((), \frac{{normalV}_{PV} + {normalI}_{PV} {normalR}_{normalS}}{{normalV}_{normalt} {normalN}_{SS}}) goodbreak- 1)) goodbreak- ((), \frac{{normalV}_{PV} + {normalI}_{PV} {normalR}_{normalS}}{R_{P}})

Section: Modelling Of Solar Photovoltaic Cellmentioning

confidence: 99%

Enhancing the power output of partially shaded PV array using column shift right‐left panel arrangement based array reconfiguration technique

Venkateswari

Rajasekar

2021

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…The second one is attributed to clouds, snow, temperature, aging effect, dust, bird spots, etc. (Higuchi & Babasaki, 2018;Jha & Triar, 2019;Karatepe et al, 2007;Lahcen et al, 2018;Manganiello et al, 2015;Pareek & Dahiya, 2016;dos Santos Vicente et al, 2020). Several approaches to decrease partial shading effects: system structures, maximum power point tracking MPPTs techniques, converters, inverter, and micro-inverter topologies and PV array configurations (Huynh et al, 2013;Marhraoui et al, 2018;Sundareswaran et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Performance Enhancements and Modeling of Photovoltaic Panel Configurations During Partial Shading Conditions

EL iysaouy,

LAHBABI,

OUMNAD

et al. 2023

JART

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The growing focus on solar energy has led to an expansion of large solar energy projects in the world. Though the most widely adopted Total Cross Tie (TCT) interconnection patterns will reduce the loss of mismatch, the appearance of shades in large-scale photovoltaic arrays drastically decreases the output power as well as several peaks of power in the P-V characteristics. To overcome these problems, the PV panels are organised using either electrical or physical reconfiguration methods. In this respect, it has been established that physical relocation methods are both cost-effective and efficient to disperse the shadow. In this context fits this work, his goal is to study the magic square view (MSV) for the physical rearrangement of the PV module in a TCT scheme. The simulation results reveal the effectiveness of the MSV method efficiently scattering the shade over the whole photovoltaic array. For validation, four types of Partial Shading Conditions (PSCs) patterns are considered and are then compared with the TCT and the recently proved Competence Square (CS) techniques: Short and Wide (SW), Long and Wide (LW), Long and Narrow (LN), and Short and Narrow (SN) shading patterns. Overall, MSV method is important in achieving improved output power enhancement of PV array under shaded conditions. A very clear improvement is obtained in the Long and Wide partial shading pattern.

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Review on parameter estimation techniques of solar photovoltaic systems

Venkateswari

Rajasekar

2021

Int Trans Electr Energ Syst

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Beyond meeting power demand, switching to solar energy especially solar photovoltaic (PV) offers many advantages like modularity, minimal maintenance, pollution free, and zero noise. Yet, its cell modeling is critical in design, simulation analysis, evaluation, and control of solar PV system; most importantly to tap its maximum potential. However, precise PV cell modeling is complicated by PV nonlinearity, presence of large unknown model parameter, and absence of a unique method. Since number of model parameters involved is directly related to model accuracy, and efficiency; determination of its values assume high priority. Besides, application of meta-heuristic algorithms via numerical extraction is popular as it suits for any PV cell/module types and operating conditions. However, existence of many algorithms have drawn attention toward assessment of each method based on its merits, demerits, suitability/ability to parameter estimation problem, and complexity involved. Hence, few authors reviewed the subject of PV model parameter estimation.But existing reviews focused on comparative analysis of analytical and metaheuristic approaches, analysis of models, and application of meta-heuristic methods for model parameter extraction. Thus, lack a comprehensive analysis on methods based on different objective function, assessment on

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Shading position effects on photovoltaic panel output power

Cited by 5 publications

References 19 publications

Enhancing the power output of partially shaded PV array using column shift right‐left panel arrangement based array reconfiguration technique

Enhancing the power output of partially shaded PV array using column shift right‐left panel arrangement based array reconfiguration technique

Performance Enhancements and Modeling of Photovoltaic Panel Configurations During Partial Shading Conditions

Review on parameter estimation techniques of solar photovoltaic systems

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