Experimental investigation on output power enhancement of partial shaded solar photovoltaic system

Winston, D. Prince; Ganesan, Karthikeyan; Balachandran, Praveen Kumar; Samithas, Devakirubakaran; Baladhanautham, Chitti Babu

doi:10.1080/15567036.2020.1779872

Cited by 18 publications

(4 citation statements)

References 34 publications

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“…The complexity of these methods is lower, and they require high computational accuracy as well. In contrast, image detection is more reliable, requires less detection time, and is reported to be more robust in detecting dirt and shading on solar panels [81].…”

Section: Device Management and Performance Analysismentioning

confidence: 99%

Solar Panels Dirt Monitoring and Cleaning for Performance Improvement: A Systematic Review on Smart Systems

2022

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The advancement in technology to manage energy generation using solar panels has proved vital for increased reliability and reduced cost. Solar panels emit no pollution while producing electricity as a renewable energy source. However, the solar panel is adversely affected by dirt, a major environmental factor affecting energy production. The intensity of light falling on the solar panel is reduced when dirt accumulates on the surface. This, in turn, lowers the output of electrical energy generated by the solar panel. Since cleansing the solar panel is essential, constant monitoring and evaluation of these processes are necessary to optimize them. This emphasizes the importance of using smart systems to monitor dirt and clean solar panels to improve their performance. The paper tries to verify the existence and the degree of research interest in this topic and seeks to evaluate the impact of smart systems to detect dirt conditions and clean solar panels compared to autonomous and manual technology. Research on smart systems for addressing dirt accumulation on solar panels was conducted taking into account efficiency, accuracy, complexity, and reliability, initial and running cost. Overall, real-time monitoring and cleaning of the solar panel improved its output power with integrated smart systems. It helps users get real-time updates of the solar panel’s condition and control actions from distant locations. A critical limitation of this research is the insufficient empirical analysis of existing smart systems, which should be thoroughly examined to allow further generalization of theoretical findings.

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Section: Device Management and Performance Analysismentioning

confidence: 99%

Solar Panels Dirt Monitoring and Cleaning for Performance Improvement: A Systematic Review on Smart Systems

2022

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“…The current compensation method was developed later to reduce the presence of partial shading. An external current source compensates for unbalanced current generation caused by partial shade, allowing all PV rows to generate an identical amount of current, thus eliminating the possibility of mismatch losses among PV rows [ 28 , 29 ].…”

Section: Introductionmentioning

confidence: 99%

Power enhanced solar PV array configuration based on calcudoku puzzle pattern for partial shaded PV system

Aljafari

Devakirubakaran

Bharatiraja

et al. 2023

Heliyon

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“…For reducing power losses, this reconfiguration technique works well in complex shading patterns. Other types of reconfiguration strategies were discussed in [85], [86], [87], and [88]. As compared to array configuration, the implementation and operating costs of reconfiguration methods are more expensive.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Static PV Array Configurations for Mitigating Mismatch Losses

et al. 2023

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Solar photovoltaic (PV) systems are susceptible to power loss caused by environmental factors such as partial shading and temperature changes. To address this issue, PV modules are connected in array configurations. However, these configurations can lead to mismatch losses between the PV rows, which reduce power output. While there are many solutions to mitigate these losses, the performance of each solution can vary depending on the environmental conditions and the array configuration logic. This research paper evaluates the performance of fifteen existing static PV array configuration techniques under various shading patterns. We analyze the mathematical formulation and logic used behind each configuration, as well as the shade dispersion rate, power generation, power losses, advantages, and disadvantages. Our analysis includes a MATLAB/Simulink® model of a 5 × 5 array for each configuration under different shading patterns. The performance of consistent and best configurations is also evaluated in a real-time environment. The results categorize each configuration as consistent, best, average, or poor. This paper provides a detailed analysis of the different PV array configurations and their performance, which can help in selecting the optimal configuration for specific environmental conditions.

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Experimental investigation on output power enhancement of partial shaded solar photovoltaic system

Cited by 18 publications

References 34 publications

Solar Panels Dirt Monitoring and Cleaning for Performance Improvement: A Systematic Review on Smart Systems

Solar Panels Dirt Monitoring and Cleaning for Performance Improvement: A Systematic Review on Smart Systems

Power enhanced solar PV array configuration based on calcudoku puzzle pattern for partial shaded PV system

Performance Evaluation of Static PV Array Configurations for Mitigating Mismatch Losses

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