Article
Green & Sustainable Science & Technology
G. Sai Krishna, Tukaram Moger
Summary: This paper introduces a novel adaptive reconfiguration method for enhancing the maximum power output of a PV array under partial shading conditions, which is experimentally validated to show improved performance compared to existing techniques.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Computer Science, Information Systems
Sheng Li, Tianhong Zhang, Jiawei Yu
Summary: This paper introduces a novel objective function that combines power optimization and switch action optimization in photovoltaic (PV) array reconfiguration. By optimizing the electrical positions of PV cells, the PV array can improve its power output while reducing the number of switch actions.
Article
Green & Sustainable Science & Technology
Sevda Rezazadeh, Arash Moradzadeh, Seyed Majid Hashemzadeh, Kazem Pourhossein, Behnam Mohammadi-Ivatloo, Seyed Hossein Hosseini
Summary: This study introduces a static method based on prime numbers to reconfigure shaded modules in a photovoltaic array, demonstrating higher power factor and lower power losses compared to other methods. Testing various shading patterns confirms the superior performance of the proposed method.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Energy & Fuels
Ahmed M. Nassef, Essam H. Houssein, Bahaa El-din Helmy, Ahmed Fathy, Mamdouh L. Alghaythi, Hegazy Rezk
Summary: This article proposes a modified Runge-Kutta optimizer (mRUN) to solve the partial shading condition in photovoltaic systems. The mRUN algorithm is shown to be robust and effective in increasing the generated power from the PV array, as demonstrated through experiments and comparisons with other metaheuristic algorithms.
Article
Green & Sustainable Science & Technology
Nikita Ramachandra, Rajasekar Natarajan
Summary: This paper proposes a novel PV array reconfiguration method called AKDS, which disperses shade to improve energy production and reduce mismatch losses. Simulation results show that AKDS outperforms other methods in terms of fill factor and mismatch losses, and also has the potential for higher energy production, increased revenue, and reduced carbon dioxide emissions under hypothetical shade conditions. Furthermore, a hardware prototype validates the performance of AKDS in real-world situations.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Energy & Fuels
Hussein A. Kazem
Summary: This paper introduces various prediction models for a grid-connected photovoltaic system based on long-term data sets, with a focus on improving accuracy and reducing uncertainty. Mathematical regression and CFNN models were proposed, with CFNN demonstrating superior accuracy compared to other models. Evaluation criteria such as mean square error, MAE, RMSE, and R-2 were used to compare and validate the proposed CFNN models, which were found to provide the most accurate results.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
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
Thermodynamics
Aidha Muhammad Ajmal, Vigna K. Ramachandaramurthy, Amirreza Naderipour, Janaka B. Ekanayake
Summary: This paper proposes a new reconfiguration technique for PV panels using Genetic algorithm and switching matrix, aiming to improve energy production by changing electrical connections. The effectiveness of the technique is verified through simulations and tests, showing superior performance compared to other techniques in overcoming partial shading.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Energy & Fuels
Palpandian Murugesan, Prince Winston David, Pravin Murugesan, Nithya Kalyani Solaisamy
Summary: The performance of a PV array is heavily influenced by partial shading, which can be minimized through careful planning and positioning of PV modules during installation. However, shading caused by nearby buildings, dust, and snow cannot be completely avoided. One approach to mitigate the effects of shading is the reconfiguration technique, but it introduces additional complexity to the system. This study proposes an adaptive reconfiguration technique for a 4x4 PV array that achieves shade dispersion while reducing complexity.
Article
Engineering, Electrical & Electronic
Ashraf Ali Khan, Wilson Eberle, Liwei Wang, Usman Ali Khan, Shehab Ahmed, Mohammed Agamy
Summary: This article presents a novel family of multilevel inverters for photovoltaic applications, featuring high performance, reliable circuit operation, and effective output voltage level management.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2021)
Article
Green & Sustainable Science & Technology
Ahmed Fathy, Dalia Yousri, Thanikanti Sudhakar Babu, Hegazy Rezk, Haitham S. Ramadan
Summary: This paper introduces an innovative objective function and a novel approach of honey badger algorithm (HBA) to dynamically reconfigure photovoltaic arrays under partial shading and random failure situations. The performance of the approach is examined with two series of analyses, proving its ability to enhance array power output. The reconfigured arrays based on HBA provide higher values of maximum global power with smoother photovoltaic characteristics, saving income by a significant percentage compared to series-parallel systems.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Article
Optics
Priya Ranjan Satpathy, Belqasem Aljafari, Sudhakar Babu Thanikanti
Summary: Partial shading among solar photovoltaic (PV) modules leads to a reduction in power generation. This paper proposes a new module electrical reconfiguration technique to mitigate the effect of partial shading and enhance power output. The technique is a fixed electrical reconnection strategy based on a proposed algorithm and does not require sensors or switches.
Article
Energy & Fuels
Saibal Manna, Ashok Kumar Akella, Deepak Kumar Singh
Summary: The widespread adoption of photovoltaic systems in recent years is due to their technological, economic, and environmental benefits. However, accurately identifying the maximum power point of a PV system under normal and shaded weather conditions is crucial to maximize power generation. To overcome the limitations of traditional maximum power point tracking (MPPT) methods, a new Lyapunov-based Robust Model Reference Adaptive Controller (LRMRAC) is designed and implemented. This controller achieves rapid and ripple-free tracking of the global maximum power point (GMPP) and accurately follows the maximum power point (MPP) even under changing weather and load conditions.
PROTECTION AND CONTROL OF MODERN POWER SYSTEMS
(2023)
Article
Energy & Fuels
Long Wang, Xucheng Chang, Xiang Li, Wenli Huang, Yingying Jiao
Summary: A novel PV reconfiguration strategy is proposed to balance between PV power station output power maximization and frequency regulation signals response, utilizing energy storage system to decrease power deviation. Multi-objective optimization and decision-making method significantly reduce power deviations efficiently.
FRONTIERS IN ENERGY RESEARCH
(2021)
Article
Energy & Fuels
Suriya Kala Shakthivel, Prince Winston David, Sathya Periya Backiyam, Madhu Shobini Murugan
Summary: This paper critically analyzes a new square dynamic reconfiguration algorithm for the partial shaded Photovoltaic System. The algorithm extracts maximum power using a feasible switching circuit and splits the PV array into four quadrants. The simulation and experimentation results demonstrate the effectiveness of the proposed algorithm.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2022)
