Effect of dust on the 1-MW photovoltaic power plant at Tafila Technical University

Louy, Mohammad; Tareq, Qusai; Al-Jufout, Saleh; Alsafasfeh, Qais; Wang, C.

doi:10.1109/irec.2017.7926032

Cited by 11 publications

(11 citation statements)

References 7 publications

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“…When the fluctuation amplitude is large, the voltage fluctuation index becomes the main influencing factor; at the same time, the power factor of the PV power source can be lowered. (3) According to the optimization model proposed in this paper, the offline maximum access capacity countermeasure table is generated, which provides scientific decision-making schemes for the grid-connected capacity of the PV power sources under different illumination conditions, in order to improve the grid's consumption of distributed power sources. This paper deploys limited power electronics technologies that have improved on the power efficiency and simple hardware design of the PV standards.…”

Section: Discussionmentioning

confidence: 99%

“…To examine the relationship between the fluctuation coefficient value λ PV and the constant volume problem of PV power supply access, it is considered that the PV power sources can access 3,6,14,16,18,20,23,25,26, and 28 nodes, and the PV power factor cos ϕ can takes 1 and 0.95. The genetic algorithm is used to optimize the maximum accessible capacity model, and the relationship between the power fluctuation of the PV power source and the maximum accessible capacity is obtained in Figure 16.…”

Section: Maximum Accessible Capacity Calculationmentioning

confidence: 99%

“…In recent years, photovoltaic (PV) power generation has developed rapidly, and the proportion of PV installed capacity in the power grid is increasing. It is estimated that by the end of 2020, the total globally installed capacity of PV power generation will reach 303 GW [1][2][3][4]. Like the wind power system, the scalability of PV power generation causes a large-scale grid connection, which will change the system power flow distribution, and even reverse the power flow.…”

Section: Introductionmentioning

confidence: 99%

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Solar PV Grid Power Flow Analysis

et al. 2019

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As the unconstrained integration of distributed photovoltaic (PV) power into a power grid will cause changes in the power flow of the distribution network, voltage deviation, voltage fluctuation, and so on, system operators focus on how to determine and improve the integration capacity of PV power rationally. By giving full consideration to the static security index constraints and voltage fluctuation, this paper proposes a maximum integration capacity optimization model of the PV power, according to different power factors for the PV power. Moreover, the proposed research analyzes the large-scale PV grid access capacity, PV access point, and multi-PV power plant output, by probability density distribution, sensitivity analysis, standard deviation analysis, and over-limit probability analysis. Furthermore, this paper establishes accessible capacity maximization problems from the Institute of Electrical and Electronics Engineers (IEEE) standard node system and power system analysis theory for PV power sources with constraints of voltage fluctuations. A MATLAB R2017B simulator is used for the performance analysis and evaluation of the proposed work. Through the simulation of the IEEE 33-node system, the integration capacity range of the PV power is analyzed, and the maximum integration capacity of the PV power at each node is calculated, providing a rational decision-making scheme for the planning of integrating the distributed PV power into a small-scale power grid. The results indicate that the fluctuations and limit violation probabilities of the power system voltage and load flow increase with the addition of the PV capacity. Moreover, the power loss and PV penetration level are influenced by grid-connected spots, and the impact of PV on the load flow is directional.

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Section: Discussionmentioning

confidence: 99%

Section: Maximum Accessible Capacity Calculationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Solar PV Grid Power Flow Analysis

et al. 2019

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“…The abnormal weather conditions lead to fluctuations in voltage and frequency creating complications in the power systems operation and maintenance. In other perspectives, the variable loads can adjust themselves based on real-time onset points [5]- [7].…”

Section: Introductionmentioning

confidence: 99%

An efficient optical inspection of photovoltaic modules deploying edge detectors and ancillary techniques

Raghavendra

Nutakki

Kazim

2022

IJECE

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With the enhanced industrial and domestic energy needs, there is a great urge for renewable energy sources because of their eco-friendly nature. Solar energy is crucial among renewable energy sources and there is a great need to optimize and enhance the performance of solar energy usage that is mainly dependent on the system components. The current work has been aimed to discuss the fault detection of photovoltaic (PV) modules by evaluating an efficient, facile inspection algorithm electrical analysis for real-time applications. The paper presents a real-time experimental model for infrared thermography using a thermal imager mounted on a tripod at a suitable distance from the PV modules to capture the images in the best possible way. A novel hybrid algorithm has been proposed and the fault detection along with the electrical parameter analysis has been accurately performed on the PV modules to analyze and process various externally induced faults in the PV systems.

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“…On the customer side, "flexible/dispatchable loads" can adjust their own electric energy usage on the basis of a real-time set point. With the growing share of these intermittent energy sources and flexible/dispatchable loads, it becomes much more difficult to maintain the power balance [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Unsupervised Fault Detection and Analysis for Large Photovoltaic Systems Using Drones and Machine Vision

et al. 2018

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One of the most important sources of clean energy in the future is expected to be solar energy which is considered a real time source. Research efforts to optimize solar energy utilization are mainly concentrated on the components of solar energy systems. Photovoltaic (PV) modules are considered the main components of solar energy systems and PVs’ operations typically occur without any supervisory mechanisms, which means many external and/or internal obstacles can occur and hinder a system’s efficiency. To avoid these problems, the paper presents a system to address and detect the faults in a PV system by providing a safer and more time efficient inspection system in real time. In this paper, we proposing a real time inspection and fault detection system for PV modules. The system has two cameras, a thermal and a Charge-Coupled Device CCD. They are mounted on a drone and they used to capture the scene of the PV modules simultaneously while the drone is flying over the solar garden. A mobile PV system has been constructed primarily to validate our real time proposed system and for the proposed method in the Digital Image and Signal Processing Laboratory (DISPLAY) at Western Michigan University (WMU). Defects have been detected accurately in the PV modules using the proposed real time system. As a result, the proposed drone mounted system is capable of analyzing thermal and CCD videos in order to detect different faults in PV systems, and give location information in terms of panel location by longitude and latitude.

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Effect of dust on the 1-MW photovoltaic power plant at Tafila Technical University

Cited by 11 publications

References 7 publications

Solar PV Grid Power Flow Analysis

Solar PV Grid Power Flow Analysis

An efficient optical inspection of photovoltaic modules deploying edge detectors and ancillary techniques

Unsupervised Fault Detection and Analysis for Large Photovoltaic Systems Using Drones and Machine Vision

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