Article
Engineering, Electrical & Electronic
Rambabu Motamarri, Nagu Bhookya
Summary: This article proposes a JAYA algorithm based on the Levy flight for improving power tracking efficiency in solar photovoltaic arrays under static and dynamic conditions. The performance of the algorithm is examined through MATLAB/SIMULINK and experiments with a designed prototype, showing superior results compared to conventional JAYA and particle swarm optimization algorithms.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2021)
Article
Multidisciplinary Sciences
Muhammad Zeeshan, Naeem Ul Islam, Faiz Faizullah, Ihsan Ullah Khalil, Jaebyung Park
Summary: The massive need for electrical energy has raised concerns about energy demand forecast for the coming years. Solar power plants have gained popularity but face challenges in power dissipation due to frequent shade, leading to a significant increase in solar electricity price. This research proposes a novel row index mathematical procedure and a unique number filling technique in the reconfiguration matrix indexes to mitigate power output losses during partial shading conditions. The proposed approach shows promising results with approximately 68% power loss reduction compared to existing reconfiguration techniques.
Article
Green & Sustainable Science & Technology
N. Belhaouas, F. Mehareb, H. Assem, E. Kouadri-Boudjelthia, S. Bensalem, F. Hadjrioua, A. Aissaoui, K. Bakria
Summary: This paper proposes an efficient PV system structure to enhance performance under partial shading effects by eliminating local multiple peaks on the characteristic curve, increasing power output, and reducing hot-spot phenomena impact. The study compares MPPT techniques and PV configurations to select a suitable and cost-effective PV system structure to mitigate partial shading effects.
JOURNAL OF CLEANER PRODUCTION
(2021)
Review
Energy & Fuels
Alexander Abramovitz, Doron Shmilovitz
Summary: Since the industrial revolution, the world's economy has heavily relied on fossil fuels, leading to environmental issues. The growing awareness of environmental problems has sparked interest in clean and sustainable energy sources, with solar energy standing out as a promising solution.
Review
Energy & Fuels
Shahroz Anjum, Vivekananda Mukherjee
Summary: The output power of a photovoltaic cell decreases due to irregular irradiance. Static and dynamic reconfiguration methods can improve power output under shading conditions, with dynamic methods being more effective but costlier.
Article
Energy & Fuels
Nihat Pamuk
Summary: Classic algorithms perform well in tracking the maximum power point (MPP) of photovoltaic panels under uniform conditions, but struggle under partial or complex shading conditions. Intelligent algorithms inspired by nature, such as cuckoo search (CS), modified incremental conductivity (MIC), particle swarm optimization (PSO), and grey wolf optimization (GWO), show successful performance in tracking the global maximum power point (GMPP). In this study, the GWO algorithm outperformed the other algorithms in terms of productivity, convergence speed, efficiency, and stability under complex shading conditions.
Article
Computer Science, Artificial Intelligence
S. Joshibha Ponmalar, Valsalal Prasad, Raju Kannadasan
Summary: A novel technique combining Black Widow Optimization (BWO) with Recurrent Neural Network (RNN) is proposed for Maximum Power Point Tracking (MPPT) in partial shadow conditions. The technique utilizes RNN to train the data set and provide a control signal for the converter, while BWO is used to achieve maximum power. The proposed method aims to obtain peak power harvest under various conditions and is compared to other techniques.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2022)
Article
Energy & Fuels
Dongrui Li, Jinjin Li, Ning Wang
Summary: This study introduces a novel bio-inspired meta-heuristic optimization algorithm, POA, which achieves a suitable balance between local exploitation and global exploration through efficient exploratory and exploitative searching operators, resulting in satisfactory MPPT performance for PV systems under partial shading conditions. The superiority and effectiveness of POA are comprehensively validated through case studies, comparing with PSO and TLBO.
FRONTIERS IN ENERGY RESEARCH
(2021)
Article
Multidisciplinary Sciences
Ambe Harrison, Njimboh Henry Alombah, Jean de Dieu Nguimfack Ndongmo
Summary: The efficient operation of PV systems requires maximum power point tracking (MPPT). However, under partial shading conditions (PSC), PV systems exhibit complex behavior with multiple maximum power points (MPP). Existing MPPT algorithms like perturb and observe, and incremental conductance are simple but fail to track the global MPP due to the presence of multiple MPPs under PSC. To solve this problem, this paper introduces a novel approach to determine the single MPP and improve the tracking performance of simple conventional MPPT algorithms under PSC.
Article
Thermodynamics
Injila Sajid, Adil Sarwar, Mohd Tariq, Farhad Ilahi Bakhsh, Shafiq Ahmad, Adamali Shah Noor Mohamed
Summary: During partial shading conditions, the efficiency of power transfer in a Photovoltaic system decreases significantly, leading to the formation of hotspots. To address this issue, using metaheuristic algorithms for Maximum Power Point Tracking (MPPT) can yield favorable results. This study introduces a novel MPPT approach based on the Archimedes Optimization Algorithm (AOA) and evaluates its performance against other state-of-the-art algorithms.
Article
Green & Sustainable Science & Technology
Houssam Deboucha, Mostefa Kermadi, Saad Mekhilef, Sofia Lalouni Belaid
Summary: The efficiency of photovoltaic (PV) systems is highly dependent on continuously varying atmospheric conditions. To optimize the PV system efficiency under fast-changing environmental conditions, including partial shading, an efficient maximum power point tracking (MPPT) method is required. This paper proposes a different MPPT control structure that integrates the MPPT algorithm into the proportional-integral (PI) voltage controller routine, achieving high-speed MPPT and extreme dynamic tracking improvements.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Automation & Control Systems
Saibal Manna, Deepak Kumar Singh, Ashok Kumar Akella
Summary: This study proposes a hybrid two-stage adaptive MPPT technology to overcome the environmental uncertainties in photovoltaic arrays. Through probabilistic evaluation and comparative analysis, it was found that the technology exhibits good robustness and performance in different scenarios.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2023)
Article
Green & Sustainable Science & Technology
S. Suriya Kala, D. Prince Winston, M. Pravin, G. Sakthivel
Summary: This article introduces a narrative move towards maximizing power augmentation in poly-crystalline solar photovoltaic (PV) modules through the modified Total Cross Tied (TCT) interlink connection method. Power extraction from sustainable energy sources is crucial as they are abundant, environmentally friendly, safe, and renewable. However, the output power generated from solar photovoltaic arrays can be reduced by up to 60% due to shading effects. Various strategies have been developed to overcome partial shading effects, and in this proposed method, PV cells in modules are connected via a modified TCT fashion with a bypass diode through each row.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Article
Energy & Fuels
Waleed Al Abri, Rashid Al Abri, Hassan Yousef, Amer Al-Hinai
Summary: This paper discusses the impact of partial shading conditions on the output of photovoltaic systems, and proposes a simple method to detect PSC by monitoring the sign of voltage changes, which can be used to trigger global MPP searching techniques and notify the occurrence of PSC to system operators.
Article
Thermodynamics
A. Guichi, S. Mekhilef, E. M. Berkouk, A. Talha
Summary: This study presents an optimal control of a grid-connected Microgrid PV Source (MPVS) under partially shaded conditions to ensure rapid and precise power delivery. The system consists of a PV array, grid emulators, and two converters coupled to a common DC bus, with control strategies based on particle swarm optimization algorithm and proposed intermediate power point tracker algorithm. Further testing was conducted under various partially shaded patterns using DSpace 1104 environment.
Article
Energy & Fuels
Siddharth Sradhasagar, Omkar Subhasish Khuntia, Srikanta Biswal, Sougat Purohit, Amritendu Roy
Summary: In this study, machine learning models were developed to predict the bandgap and its character of double perovskite materials, with LGBMRegressor and XGBClassifier models identified as the best predictors. These models were further employed to predict the bandgap of novel bismuth-based transition metal oxide double perovskites, showing high accuracy, especially in the range of 1.2-1.8 eV.
Article
Energy & Fuels
Wei Shuai, Haoran Xu, Baoyang Luo, Yihui Huang, Dong Chen, Peiwang Zhu, Gang Xiao
Summary: In this study, a hybrid model based on numerical simulation and deep learning is proposed for the optimization and operation of solar receivers. By applying the model to different application scenarios and considering multiple performance objectives, small errors are achieved and optimal structure parameters and heliostat scales are identified. This approach is not only applicable to gas turbines but also heating systems.
Article
Energy & Fuels
Mubashar Ali, Zunaira Bibi, M. W. Younis, Muhammad Mubashir, Muqaddas Iqbal, Muhammad Usman Ali, Muhammad Asif Iqbal
Summary: This study investigates the structural, mechanical, and optoelectronic properties of the BaCuF3 fluoroperovskite using the first-principles modelling approach. The stability and characteristics of different cubic structures of BaCuF3 are evaluated, and the alpha-BaCuF3 and beta-BaCuF3 compounds are found to be mechanically stable with favorable optical properties for solar cells and high-frequency UV applications.
Article
Energy & Fuels
Dong Le Khac, Shahariar Chowdhury, Asmaa Soheil Najm, Montri Luengchavanon, Araa mebdir Holi, Mohammad Shah Jamal, Chin Hua Chia, Kuaanan Techato, Vidhya Selvanathan
Summary: A novel recycling system is proposed in this study to decompose and reclaim the constituent materials of organic-inorganic perovskite solar cells (PSCs). By utilizing a one-step solution process extraction approach, the chemical composition of each layer is successfully preserved, enabling their potential reuse. The proposed recycling technique helps mitigate pollution risks, minimize waste generation, and reduce recycling costs.
Article
Energy & Fuels
Peijie Lin, Feng Guo, Xiaoyang Lu, Qianying Zheng, Shuying Cheng, Yaohai Lin, Zhicong Chen, Lijun Wu, Zhuang Qian
Summary: This paper proposes an open-set fault diagnosis model for PV arrays based on 1D VoVNet-SVDD. The model accurately diagnoses various types of faults and is capable of identifying unknown fault types.
