A Novel Methodology for Partial Shading Diagnosis Using the Electrical Parameters of Photovoltaic Strings

Li, Chenxi; Yang, Yongheng; Fan, Fu; Lin, Xin; Peng, Peizhen; Wang, Yiye; Zhang, Kanjian; Wei, Haikun

doi:10.1109/jphotov.2022.3173723

Cited by 17 publications

(11 citation statements)

References 30 publications

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“…Shading is a common problem in PV systems, and it can have a significant impact on the performance of PV modules. When a PV module is partially or fully shaded, the cells in the shaded area are unable to generate electricity as efficiently as unshaded cells [72][73][74][75]. This can lead to a voltage difference between the shaded cells and the unshaded cells, which can cause PID in the module.…”

Section: Pv Shadingmentioning

confidence: 99%

Potential Induced Degradation in Photovoltaic Modules: A Review of the Latest Research and Developments

Badran

Dhimish

2023

Solar

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Photovoltaic (PV) technology plays a crucial role in the transition towards a low-carbon energy system, but the potential-induced degradation (PID) phenomenon can significantly impact the performance and lifespan of PV modules. PID occurs when a high voltage potential difference exists between the module and ground, leading to ion migration and the formation of conductive paths. This results in reduced power output and poses a challenge for PV systems. Research and development efforts have focused on the use of new materials, designs, and mitigation strategies to prevent or mitigate PID. Materials such as conductive polymers, anti-reflective coatings, and specialized coatings have been developed, along with mitigation strategies such as bypass diodes and DC-DC converters. Understanding the various factors that contribute to PID, such as temperature and humidity, is critical for the development of effective approaches to prevent and mitigate this issue. This review aims to provide an overview of the latest research and developments in the field of PID in PV modules, highlighting the materials, designs, and strategies that have been developed to address this issue. We emphasize the importance of PID research and development in the context of the global effort to combat climate change. By improving the performance and reliability of PV systems, we can increase their contribution to the transition towards a low-carbon energy system.

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Section: Pv Shadingmentioning

confidence: 99%

Potential Induced Degradation in Photovoltaic Modules: A Review of the Latest Research and Developments

Badran

Dhimish

2023

Solar

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“…Nevertheless, a solar PV plant may experience partial shading during operation, drastically lowering its power production. For this purpose, literature reviews have revealed several strategies for altering solar panel configurations, enhancing their efficiency, and mitigating shadowing effects [40]. The least obtrusive shading scenarios may be shown through experimentation with mathematical puzzles, unlike those inspired by classic approaches, such as Su-Do-Ku, Latin Square, and Magic Square [41], [42].…”

Section: Introductionmentioning

confidence: 99%

Comparative Performance Analysis of PV Module Positions in a Solar PV Array Under Partial Shading Conditions

et al. 2023

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The irradiation intensity is the primary catalyst for energy production in photovoltaic (PV) systems. Nevertheless, it alleviates partial shading (PS) by inhibiting power production, primarily in habitable metropolitan areas, owing to surrounding objects or high soiling rates, particularly in dry and semi-arid climates. Hence, the PV module's location, orientation, and tilt angle significantly affect its performance and shorten its durability. Thus, this study undertakes a benchmark analysis of the two distinct panel positions' performance using PSIM and MATLAB software simulations and an actual practical test. A visual inspection of a solar power plant in Morocco's Green Energy Park is the origin of the survey concept; it observes that the soil density consistently covers certain PV panel spots. In this context, the solar energy data of an intelligent home deployed in the earlier-mentioned research platform has been deployed to emulate the performance of future buildings challenged with various obstacles. Therefore, the roof-mounted PV system satisfied the home's energy demands. In the first scenario, the PV module is in portrait mode. In the second case, they are in landscape orientation. The findings of this investigation demonstrate that standard PV panels produce more power when arranged in a landscape configuration than in a portrait configuration, exhibiting a discrepancy of up to 1010 Wh for a modest PV system. Finally, this study suggests appropriate orientation and design recommendations for standard and advanced solar modules, mainly those deployed in arid and heavily populated urban regions featuring severe shading constraints.

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“…Accordingly, MPPT is placed between the panel and load, including a converter and controller. The controller sets the converter's duty cycle to equalize the panel's resistance and the load [4]. Many attempts have been made to modify this supplementary part; for example, in [5], various converters and electric circuits are presented.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Analysis of the Mamdani and Sugeno Fuzzy Inference Systems for MPPT of an Islanded PV System

Samavat

Nazari

Ghalehnoie

et al. 2023

International Journal of Energy Research

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With the maturation of nonlinear systems, considerable endeavors have been made to provide valid and high-speed controllers to supervise superior and more complex systems. Artificial intelligence has been remembered as the head topic among designers in the last decade. One of the popular control techniques is fuzzy logic, which is known to provide a controller that simulates the behavior of an expert operator. On the other hand, due to the necessity of change in human energy sources and the popularity of solar energy, attention to the greatest utilization of this category of green resources has significantly increased. Maximum power point tracking (MPPT) in solar systems is a headed topic, with innovative methods being presented every day despite numerous articles. However, the less discussed topic is the choice of a fuzzy inference system. In this article, the two classes of Mamdani and Sugeno are discussed to introduce the best controller for extracting more power from a solar system by implementing both types and gaining an understanding of their differences. In addition, the influence of the number of input membership functions on the controller performance is investigated. Therefore, two different input membership functions are given to each fuzzy system model. It should be noted that fuzzy system setup has been done by genetic algorithm to respond to the mortal desire to automate various processes, which is a subset of artificial intelligence. Accordingly, four different fuzzy systems have been designed and implemented on a solar system. The results were tested and summarized in various radiations in MATLAB Simulink.

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A Novel Methodology for Partial Shading Diagnosis Using the Electrical Parameters of Photovoltaic Strings

Cited by 17 publications

References 30 publications

Potential Induced Degradation in Photovoltaic Modules: A Review of the Latest Research and Developments

Potential Induced Degradation in Photovoltaic Modules: A Review of the Latest Research and Developments

Comparative Performance Analysis of PV Module Positions in a Solar PV Array Under Partial Shading Conditions

A Comparative Analysis of the Mamdani and Sugeno Fuzzy Inference Systems for MPPT of an Islanded PV System

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