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Test and Analysis of Potential Induced Degradation in Crystalline Silicon pv modules

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Test and Analysis of Potential Induced Degradation in Crysta...

Maximizing Solar Potential Using the Differential Grey Wolf Algorithm for pv System Optimization

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作者： Feifei Jiang Haitao Liu Xinjing Zou Key Laboratory of Solar Thermal Energy and Photovoltaic System Institute of Electrical Engineering Chinese Academy of Sciences

Potential induced degradation（PID） has become one of the main factors that reduce the output power of pv *** are easy to be affected by PID if the pv system operates under a humid environment. pv modules in a mountain pv power station under warm temperate climate in China were tested to study the occurrence regularity of PID and its effect on the electrical performance of pv strings. The test items include power degradation test, Electroluminescent（EL） test, Infrared Radiation（IR） test and series connection mismatch loss test of pv module. The power recovery method for pv modules affected by PID was also researched in this paper. Test results shows that the power of pv modules affected by PID can decrease seriously. In the environmental chamber with high temperature and humidity condition, power loss of pv modules affected by PID can recovery with a positive bias voltage stress.

关键词： pv module Potential induced degradation Power recovery

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Energy Engineering 2024年第8期121卷 2129-2142页

作者： Ezhilmathi Nagarathinam Buvana Devaraju Karthiyayini Jayamoorthy Padmavathi Radhakrishnan Santhana Lakshmi ChandraMohan Vijayakumar Perumal Karthikeyan Balakrishnan Department of Electrical and Electronics Engineering Pandian Saraswathiyadav Engineering CollegeSivagangaiTamil Nadu630561India Department of Electrical and Electronics Engineering Sri Balaji Chockalingam Engineering CollegeArniTamil Nadu632317India Department of Information Science and Engineering New Horizon College of EngineeringBangalore560103India Department of Electrical and Electronics Engineering Rajalakshmi Engineering CollegeChennaiTamil Nadu602105India Department of Electrical and Electronics Engineering Sona College of TechnologySalemTamil Nadu636005India School of Electronics Engineering Vellore Institute of TechnologyChennaiTamil Nadu600127India Department of Electrical and Electronics Engineering Sri Krishna College of Engineering and TechnologyCoimbatoreTamil Nadu641008India

Maximum Power Point Tracking(MPPT)is crucial for maximizing the energy output of photovoltaic(pv)systems by continuously adjusting the operating point of the panels to track the point of maximum power production under changing environmental *** work proposes the design of an MPPT system for solar pv installations using the Differential Grey Wolf Optimizer(DGWO).It dynamically adjusts the parameters of the MPPT controller,specifically the duty cycle of the SEPIC converter,to efficiently track the Maximum Power Point(MPP).The proposed system aims to enhance the energy harvesting capability of solar pv systems by optimizing their performance under varying solar irradiance,temperature and shading *** results demonstrate the effectiveness of the DGWO-based MPPT system in maximizing the power output of solar pv installations compared to conventional MPPT *** research contributes to the development of advanced MPPT techniques for improving the efficiency and reliability of solar energy systems.

关键词： DGWO SEPIC converter MPPT pv module

Short-Term Prediction of Photovoltaic Power Based on Fusion Device Feature-Transfer

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Energy Engineering 2022年第4期119卷 1419-1438页

作者： Zhongyao Du Xiaoying Chen Hao Wang Xuheng Wang Yu Deng Liying Sun College of Electrical Engineering Liaoning University of TechnologyJinzhou121001China School of Electrical Engineering Shandong UniversityJinan250012China

To attain the goal of carbon peaking and carbon neutralization,the inevitable choice is the open sharing of power data and connection to the grid of high-permeability renewable ***,this approach is hindered by the lack of training data for predicting new grid-connected pv power *** overcome this problem,this work uses open and shared power data as input for a short-term pv-power-prediction model based on feature transfer learning to facilitate the generalization of the pv-power-prediction model to multiple pv-power *** proposed model integrates a structure model,heat-dissipation conditions,and the loss coefficients of pv ***-Sky entropy,characterizes seasonal and weather data features,describes the main meteorological characteristics at the pv power *** gate recurrent unit neural networks as the framework,the open and shared pv-power data as the source-domain training label,and a small quantity of power data from a new grid-connected pv power station as the target-domain training label,the neural network hidden layer is shared between the target domain and the source *** fully connected layer is established in the target domain,and the regularization constraint is introduced to fine-tune and suppress the overfitting in feature *** prediction of pv power is completed by using the actual power data of pv power *** average measures of the normalized root mean square error(NRMSE),the normalized mean absolute percentage error(NMAPE),and the normalized maximum absolute percentage error(NLAE)for the model decrease by 15%,12%,and 35%,respectively,which reflects a much greater adaptability than is possible with other *** results show that the proposed method is highly generalizable to different types of pv devices and operating environments that offer insufficient training data.

关键词： Solar power generation transfer learning pv module UMAP GRU overfitting

Modeling of the Photovoltaic module Operating Temperature for Various Weather Conditions in the Tropical Region

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Fluid Dynamics & Materials Processing 2022年第5期18卷 1275-1284页

作者： Mame Cheikh Diouf Mactar Faye Ababacar Thiam Alphousseyni Ndiaye Vincent Sambou Efficiency and Energetic Systems Research Group Alioune Diop UniversityBambeySenegal Laboratoire Eau EnergieEnvironnement et Procédés Industriels(LE3PI)UniversitéCheikh Anta DiopBambeySenegal

The operating temperature is a critical factor affecting the performances of photovoltaic(pv)*** this work,relevant models are proposed for the prediction of this operating temperature using data(ambient temperature and solar irradiance)based on real measurements conducted in the tropical *** each weather condition(categorized according to irradiance and temperature levels),the temperatures of the pv modules obtained using the proposed approach is compared with the corresponding experimentally measured *** results show that the proposed models have a smaller Root Mean Squared Error than other models developed in the literature for all weather conditions,which confirms the reliability of the proposed framework.

关键词： Photovoltaic operating temperature pv module weather condition

Effect of Dust and Shadow on Performance of Solar Photovoltaic modules: Experimental Analysis

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Energy Engineering 2021年第6期118卷 1827-1838页

作者： Ramkiran Bhallamudi Sudhakar Kumarasamy Chinnayan Karuppaiyah Sundarabalan School of Electrical and Electronics Engineering SASTRA Deemed UniversityTamilnadu613401India Department of Electrical and Electronics Engineering Srinivasa Ramanujan CentreSASTRA Deemed UniversityTamilnadu612001India Faculty of Mechanical and Automotive Engineering Technology Universiti Malaysia PahangPahang26600Malaysia Centre for Automotive Engineering Universiti Malaysia PahangPahang26600Malaysia Energy Centre Maulana Azad National Institute of TechnologyBhopal462003India

This study presents an experimental performance of a solar photovoltaic module under clean,dust,and shadow *** is found that there is a significant decrease in electrical power produced(40%in the case of dust panels and 80%in the case of shadow panels)and a decrease in efficiency of around 6%in the case with dust and 9%in the case with the shadow,as compared to the clean *** the results,it is clear that there is a substantial effect of a partial shadow than dust on the performance of the solar *** is due to the more obstruction of the sunlight by the shadowed area compared to the *** dust being finer particles for the given local experimental condition did not influence the panel than the *** main outcome of this study is that the shadowing effect may cause more harm to the pv module than dust for the given experimental ***,Further long-term studies on the effect of dust and shadow are needed to understand the effect on performance degradation and module life.

关键词： Shadow dust soiling pv module pv performance

Experimental research on the relationship between bypass diode configuration of photovoltaic module and hot spot generation

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Journal of Semiconductors 2018年第12期39卷 135-140页

作者： Cong Gao Peng Liang Huixue Ren Peide Han State Key Laboratory on Integrated Optoelectronics Institute of Semiconductors Chinese Academy of Sciences School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences

A hot spot is a reliability problem in photovoltaic(pv) modules where a mismatched or shaded cell heats up significantly and degrades the pv module output power performance. High pv cell temperature due to a hot spot can damage the cell encapsulate and lead to second breakdown, which both cause permanent damage to the pv module. In present systems, bypass diodes are used to mitigate the hot spot problem. In this work, five commercial polysilicon P V modules configured with different numbers of bypass diodes are used to study the influence of bypass diodes on the reverse bias voltage of a shaded cell and the resulting hot spot phenomenon. The reverse bias voltage of the shaded cell, and the hot spot probability and severity decrease as the number of bypass diodes increases. Negative terminal voltage of a shaded cell accompanied by a switched-off bypass diode are the necessary condition for hot spot generation. In an extreme case where each cell has an individual bypass diode in a P V module, it still cannot avoid the hazards of a hot spot under the shading areas of 5-7 cm2, but the probability of a hot spot is reduced to a minimum of 0.41%.

关键词： bypass diode configuration reverse bias voltage of shaded cell hot spot pv module

Resiliency oriented control of a smart microgrid with photovoltaic modules

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Global Energy Interconnection 2021年第5期4卷 441-452页

作者： Sambeet Mishra Kristjan Peterson Tauno Hilimon Jelena Shuvalova Fushuan Wen Ivo Palu Department of Electrical Power Engineering and Mechatronics Tallinn University of Technology

The resiliency of a standalone microgrid is of considerable issue because the available regulation measures and capabilities are *** this background,this paper presented a new mathematical model for a detailed photovoltaic(pv)module and the application of new control techniques for efficient energy *** pv module employs a single-stage conversion method to integrate it with the utility *** extraction the maximum power from pv and integrate it to power grid,a three-phase voltage source converter is *** obtaining the maximum power at a particular irradiance a maximum power point tracking(MPPT)scheme is *** fuzzy logic control and adaptive network-based fuzzy inference system are proposed for direct current(DC)link voltage *** proposed model and control scheme are validated through a comparison with the standard power-voltage and current-voltage charts for a pv *** results demonstrate that the system stability can be maintained with the power grid and in the island mode,in contrast with the MPPT.

关键词： pv module MPPT Adaptive network-based fuzzy inference system(ANFIS) Converter control Grid integration

Analysis of the Effect of Temperature and Relative Humidity on the Reliability of a Photovoltaic module

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Advances in Materials Physics and Chemistry 2024年第8期14卷 165-177页

作者： Abdoulaye Kabré Dominique Bonkoungou Zacharie Koalaga Dpartement de Physique Laboratoire de Matriaux et Environnement (LA.M.E)-UFR/SEA Universit Joseph Ki-ZERBO Ouagadougou Burkina Faso

Photovoltaic energy occupies a significant place in the renewable energy market, with photovoltaic (pv) modules playing a vital role in converting solar energy into electricity. However, their effectiveness is likely to be affected by variations in environmental conditions, including temperature and relative humidity. The study examines the impact of these major climatic factors on the reliability of pv modules, aiming to provide crucial information for optimizing and managing these systems under varying conditions. Inspired by Weibull’s law to model the lifespan of components, we proposed a mathematical model integrating a correction factor linked to temperature and relative humidity. Using this approach, simulations in Matlab Simulink reveal that increasing temperature and relative humidity have an adverse impact on the reliability and lifespan of pv modules, with a more pronounced impact on temperature. The results highlight the importance of considering these environmental parameters in the management and optimization of photovoltaic systems to ensure their long-term efficiency.

关键词： Solar Energy pv module Lifespan Reliability Efficiency

Voltage-Based Hot-Spot Detection Method for Defective Cell in Photovoltaic module Using Projector

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Journal of Energy and Power Engineering 2016年第8期10卷 489-496页

作者： YadongWang Kazutaka Itako Tsugutomo Kudoh Keishin Koh Qiang Ge Department of Electrical and Electronic Engineering Kanagawa Institute of Technology Kanagawa 243-0292 Japan Department of Energy and Power Engineering Yangzhou University Yangzhou 225127 China

This paper proposes a voltage-based hot-spot detection method for defective cells in pv module using projector. The presence of internal crystal defects is one of the main causes of hot-spot phenomenon in pv modules. Authors previously investigated the physical characteristics of hot-spot phenomenon referring to internal crystal defect. Based on it, a hot-spot detection method named as current-based SRC （self reverse current） detection method is developed. However, it becomes extraordinarily complicated to determine the defective cells under low illumination. In order to avoid this disadvantage, authors improve the SRC detection method by applying voltage. From the feasibility experiment results, it is confirmed that by calculating cell HSI （hotspots index） with voltage, the pv modules with defective cells can be prospectively excluded even under low illumination.

关键词： Hot-spot pv module crystal defect detection method hot spot index.