Modeling and fault analysis of solar photovoltaic grid-connected systems under solar radiation fluctuation consideration

Summary Series arc fault is one of the main failures of photovoltaic (PV) systems that should be detected as soon as possible after occurrence. Electrical shock hazard and fire in PV systems are the main consequences of delayed series arc fault detection. In this paper, an approach based on analyzing high‐frequency components of voltage signal derived by Kalman filter is presented to detect series arc fault occurrence. A criterion is defined using energy variations of the estimated harmonics for this purpose. The performance of the proposed method is evaluated by plenty of simulations and experiments in different conditions. These cases include different arc lengths, electrodes movements, temporary shadings, and different types of noise. The results confirm that the proposed technique is efficient from speed response, reliability, and accuracy points of view.

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“…Equation 16 represents this arc model characteristic. Equation 16 represents this arc model characteristic.…”

Section: Kema 38 Arc Modelmentioning

confidence: 99%

“…In Georgijevic et al, 12 changes in entropy of voltage signal have been utilized to detect the fault. 16 Combination of time and frequency domains analysis has also been utilized for detection of arc fault. Some of the time domain-based techniques have utilized current direction for detection of fault.…”

mentioning

confidence: 99%

Kalman filter–based approach for detection of series arc fault in photovoltaic systems

Ahmadi

Samet

Ghanbari

2019

Int Trans Electr Energ Syst

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“…So, it is required to work at unity power factor according to the IEEE standard 1547. 15,16,19,20,29 In this article, an easily configurable PLL method is used. 23 There are many PLL structure cited in literature.…”

Section: Pll-blockmentioning

confidence: 99%

“…[15][16][17][18][19][20][21][22][23] Considerable efforts are effectively made to control these systems. Therefore, many solutions are proposed in order to improve their energy efficiency.…”

Section: Introductionmentioning

confidence: 99%

Processor in the loop test for algorithms designed to control power electronics converters used in grid‐connected photovoltaic system

Fekkak

Menaa

Boussahoua

et al. 2019

Int Trans Electr Energ Syst

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Summary Enhancement of photovoltaic (PV) system efficiency based on simple testing techniques is one of the most promising solutions. This is due to its low cost and easy implementation. This paper shows a way to develop applications based on a new method of operating the STM32F407‐VG board. Thereafter, the processor in the loop (PIL) test can easily be conducted. This method requires an FT232RL USB‐UART converter board as an external serial communication interface that can replace the frequently used internal STLink communication interface. The main advantage of this external device lies in the setting of its baud rate using the aliasing technique. This technique can provide an efficient solution to transfer data from the embedded board to the computer and vice versa at high baud rate. The PIL testing becomes faster and therefore more flexible. The studied case is a grid‐connected small scale PV system. The produced power from the PV generator (PVG) is injected into the grid. The incremental conductance (INC) algorithm‐based maximum power point tracking (MPPT) technique is developed for extracting the maximum power from the PVG. The dq current control method is presented for the three phase voltage source inverter (3‐ph VSI). Further, a scenario of frequency changes in the grid is chosen in order to verify the phase‐locked loop (PLL) ability to track the grid phase angle. The simulation results under MATLAB/Simulink show the efficiency of both controllers and dynamic behavior of the full PV chain. Next, the proposed PIL test is performed by automatically generating the C code from both control algorithms using the Simulink features. This C code is implemented on the STM32F407‐VG board that acts as an external controller meanwhile the plant is still running on the host computer. The PIL test results show that the controllers simulated under MATLAB/Simulink behave in the same way once executed on the embedded board

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“…Other methods to detect the degradation of PV models were also proposed . A statistical fault detection approach to the early detection of shading in PV modules as well faults on the direct current side of PV systems was proposed in Garoudja et al A fault analysis approach with the support of modeling with solar energy fluctuation was also used to discuss maximum fault current profiles . A review of the several types of faults, as well as detection techniques for PV systems, can be seen in Madeti and Singh .…”

Section: Introductionmentioning

confidence: 99%

Fault detection in trackers for PV systems based on a pattern recognition approach

Amaral

Pires

2018

Int Trans Electr Energ Syst

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Summary In many photovoltaic (PV) power plants, the PV modules are installed in trackers. In these systems, the PV modules are fixed in a mobile structure to always maintain a perpendicular position to the brightest point in the sky, obtaining in this way the maximum power from the sun, during the all day. Nevertheless, these systems are subject to problems that reduce their efficiency. Thus, visual inspection or complex methods can be used to detect this problem. However, these systems normally result in delays or are expensive. To overcome these problems, this paper proposes a new method for that detection. This, method is based on the pattern recognition analysis. Thus, through the analysis of the images of the several solar panels, the PV module that presents a problem in the tracker will be detected. The orientation of the PV modules is determined using the centroid of the PV cells after applying an image pre‐processing stage. The angle is calculated using the statistical moments or by the slope of the line joining two centroids of the PV cells that are located at the vertices of the PV module. Several test cases are presented to verify the efficiency of the proposed approach.

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Modeling and fault analysis of solar photovoltaic grid-connected systems under solar radiation fluctuation consideration

Cited by 16 publications

References 27 publications

Kalman filter–based approach for detection of series arc fault in photovoltaic systems

Kalman filter–based approach for detection of series arc fault in photovoltaic systems

Processor in the loop test for algorithms designed to control power electronics converters used in grid‐connected photovoltaic system

Fault detection in trackers for PV systems based on a pattern recognition approach

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