Reconfiguration of Urban Photovoltaic Arrays Using Commercial Devices

Serna-Garcés, Sergio I.; Bastidas‐Rodríguez, Juan David; Ramos‐Paja, Carlos Andrés

doi:10.3390/en9010002

Cited by 15 publications

(10 citation statements)

References 32 publications

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“…In PV modules manufacturing technology, manufacturing tolerances of ±3% to ±5% in their maximum power rating are generally allowed [22]. MML is recognized and investigated by many researchers on different size of PV array configurations using different reconfiguration techniques of PV modules [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

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Performance Comparison of Mismatch Power Loss Minimization Techniques in Series-Parallel PV Array Configurations

2019

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The mismatch in current-voltage (I-V) characteristics of photovoltaic (PV) modules causes significant power loss in a large PV array, which is known as mismatch power loss (MML). The PV array output power generation can be improved by minimizing MML using different techniques. This paper investigates the performance of different module arrangement techniques to minimize MML both for long series string (LSS) and long parallel branch (LPB) in series-parallel (SP) array configurations at uniform irradiance condition. To investigate the significance of MML LSS-SP configuration with dimensions: 1 × 40, 2 × 20, 4 × 10, 5 × 8 and LPB-SP configuration with dimensions: 40 × 1, 20 × 2, 10 × 4, 8 × 5 were used. A comparative analysis is made to find the effectiveness of MML reduction techniques on PV arrays with three different power ratings. Simulation results show that the PV modules arrangement obtained by the genetic algorithm (GA) and current based arrangement (Im) performed better than the arrangements obtained by all other techniques in terms of PV array output power and MML minimization. The performance of the proposed technique was analyzed for both LSS-SP and LPB-SP array configurations in 400 W, 3400 W, and 9880 W arrays. To substantiate the simulation results experiment was performed using a 400 W PV array in outdoor weather condition and obtained similar results. It was also observed that the percentage of recoverable energy (%RE) obtained by arranging the modules using the GA method was higher than Im based method for both LSS-SP and LPB-SP array configurations. A maximum %RE of 4.159 % was recorded for a 5 × 8 LSS-SP array configuration by applying the GA based MML reduction method.

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Section: Introductionmentioning

confidence: 99%

“…In Reference [36], a GA based optimal reconfiguration technique is applied to a PV array to maximize the output power at partial shading condition. There are some other reconfiguration techniques are developed in References [25,37], to reduce MML due to partial shading.…”

Section: Introductionmentioning

confidence: 99%

Performance Comparison of Mismatch Power Loss Minimization Techniques in Series-Parallel PV Array Configurations

2019

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“…Therefore, I-V curve analysis is proposed to classify the type of faults that already occur [9,10]. Based on I-V curve data, some researchers proposed reconfiguration algorithms for PV arrays to maximize global power output [11]. Moreover, PV reconfiguration can be used to balance the overall power output and the aging of PV modules [12,13].…”

Section: Introductionmentioning

confidence: 99%

Photovoltaic Array Fault Detection by Automatic Reconfiguration

Dong

Cai

et al. 2017

Energies

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Photovoltaic (PV) system output electricity is related to PV cells' conditions, with the PV faults decreasing the efficiency of the PV system and even causing a possible source of fire. In industrial production, PV fault detection is typically laborious manual work. In this paper, we present a method that can automatically detect PV faults. Based on the observation that different faults will have different impacts on a PV system, we propose a method that systematically and iteratively reconfigures the PV array until the faults are located based on the specific current-voltage (I-V) curve of the (sub-)array. Our method can detect several main types of faults including open-circuit faults, mismatch faults, short circuit faults, etc. We evaluate our methods by Matlab/Simulink-based simulation. The results show that the proposed methods can accurately detect and classify the different faults occurring in a PV system.

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“…PV system configurations have been suggested to be changed via different interconnections of individual PV modules, which are typically from one of the following configurations: (i) series-parallel (SP); (ii) total-cross-tied (TCT); and (iii) bridge-linked [9,16]. In [17] an electrical array reconfiguration is proposed, which uses a switching matrix for changing the position of the PV modules and find the best configuration between those. This method is at the module level and implemented to maximize the available DC power by grouping modules with similar shading patterns.…”

Section: Introductionmentioning

confidence: 99%

“…Maximum output power at each time frame is calculated using Equations (12)- (17). The output power for three time frames as shown in Figures 12-14 is given in Table 4.…”

mentioning

confidence: 99%

Improvement of Shade Resilience in Photovoltaic Modules Using Buck Converters in a Smart Module Architecture

2018

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Partial shading has a nonlinear effect on the performance of photovoltaic (PV) modules. Different methods of optimizing energy harvesting under partial shading conditions have been suggested to mitigate this issue. In this paper, a smart PV module architecture is proposed for improvement of shade resilience in a PV module consisting of 60 silicon solar cells, which compensates the current drops caused by partial shading. The architecture consists of groups of series-connected solar cells in parallel to a DC-DC buck converter. The number of cell groups is optimized with respect to cell and converter specifications using a least-squares support vector machine method. A generic model is developed to simulate the behavior of the smart architecture under different shading patterns, using high time resolution irradiance data. In this research the shading patterns are a combination of random and pole shadows. To investigate the shade resilience, results for the smart architecture are compared with an ideal module, and also ordinary series and parallel connected architectures. Although the annual yield for the smart architecture is 79.5% of the yield of an ideal module, we show that the smart architecture outperforms a standard series connected module by 47%, and a parallel architecture by 13.4%.

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Reconfiguration of Urban Photovoltaic Arrays Using Commercial Devices

Cited by 15 publications

References 32 publications

Performance Comparison of Mismatch Power Loss Minimization Techniques in Series-Parallel PV Array Configurations

Performance Comparison of Mismatch Power Loss Minimization Techniques in Series-Parallel PV Array Configurations

Photovoltaic Array Fault Detection by Automatic Reconfiguration

Improvement of Shade Resilience in Photovoltaic Modules Using Buck Converters in a Smart Module Architecture

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