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[IEEE 2019 International Conference on Smart Energy Systems and Technologies (SEST) - Porto, Portugal (2019.9.9-2019.9.11)] 2019 International Conference on Smart Energy Systems and Technologies (SEST) - Comparison of Swarm Optimization Methods for MPPT in Partially Shaded Photovoltaic Systems
摘要： The use of solar energy for electricity grows mainly due to environmental issues. However, several challenges arise for researchers, such as improving the efficiency of photovoltaic systems in shading situations. In this opportunity, several algorithms attempt to search for the point of maximum power in a photovoltaic system, among them the artificial intelligence algorithms. Thus, this paper investigates the use of artificial intelligence in maximum power tracking techniques for partially shaded systems. A review of different methods is done and performed simulations. As a highlight, the particle swarm optimization was the fastest algorithm and the most accurate was artificial bee colony. Therefore, the tested algorithms obtained good efficiency, being the role of the designer to choose the most suitable for each system.
关键词： MPPT,Photovoltaic,Photovoltaic systems,Artificial intelligence,Shading
更新于2025-09-12 10:27:22
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P‐13.7: Top‐Emitting White OLEDs with Micro‐cavity for Ultra‐Low Power Consumption Display
摘要： Invasive plants may be more plastic than non-invasive plants and maintain high fitness under various environmental conditions. Previous studies mainly focused on the comparisons between invasive and native plants, and comparisons between highly invasive and less invasive exotic species are still relatively rare, especially for comparisons at the subspecies level. This study examined the effects of nutrient addition and shading on the performance of the highly invasive Mimosa invisa and its less invasive subspecies M. invisa var. inermis under either isolated or competitive conditions. Nutrient addition increased biomass and plant height and decreased root-to-shoot ratio (R/S). Shading decreased biomass and R/S and increased plant height. Under isolated conditions, the two invaders did not differ in R/S, plant height and plasticity of these traits in response to nutrient addition or shading, and the two invaders also did not differ in biomass production under each of the nutrient and light treatments. When the two invaders competed with each other, M. invisa outcompeted M. invisa var. inermis under high soil nutrient conditions, and the two invaders did not differ in performance under other growth conditions. Thus, only considering competition may we find out the difference between highly invasive species and their closely related, less invasive subspecies. Management of M. invisa should focus on habitats with high soil nutrient availability, in which M. invisa is more likely to dominate.
关键词： phenotypic plasticity,shading,nutrient addition,competition,plant invasion
更新于2025-09-11 14:15:04
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Solar Photovoltaic Array Reconfiguration using Magic Su-Do-Ku algorithm for Maximum Power Production under Partial Shading Conditions
摘要： Power generation using photovoltaic (PV) array diminishes during shading. Under the conditions, the solar PV modules are exposed to dissimilar solar irradiation. The power vs voltage curve and current vs voltage curve of such PV array consist of multiple peaks in its characteristics and consequently the mismatch losses occur. This paper explores the power enhancement in PV array, which is exposed to partial shading conditions, through Magic Su-Do-Ku based static reconfiguration. The previous suggested static reconfiguration strategies attain poor power enhancement due to ineffectual shade dispersion. This proposed Magic Su-Do-Ku based interconnection arrangement overcomes these drawbacks to attain uniform shadow dispersion without altering the Total-Cross-Tied (TCT) connections. The power enhancement of the PV array has been analyzed through its P-V characteristics, mismatch loss, and effect of shade dispersion on its maximum power point (MPP) with different shading patterns. The performance of suggested arrangement shows good results for various shading patterns.
关键词： Magic Su-Do-Ku pattern,Mismatch losses,Solar Photovoltaic system,Static reconfiguration,Partial shading
更新于2025-09-11 14:15:04
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[IEEE 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) - Gramado, Brazil (2019.9.15-2019.9.18)] 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) - An Adaptive Perturb and Observe Method with Clustering for Photovoltaic Module with Smart Bypass Diode under Partial Shading
摘要： The photovoltaic maximum power point tracking using perturb and observe method has a fixed step size, where a small step size has a slower time response and more accurate steady-state, while a large step size is the opposite. This work proposes an adaptive step size, proportional to the difference between actual and previous power sample, providing a fast time response and reducing the oscillations at steady-state. The oscillations are smaller with adaptive step size, but they are not annulled and the method presents loss by power oscillations. The clustering is used to eliminate this loss, setting the result of the simple average of the last five voltage samples. The enhanced method has been tested on a 72-cell photovoltaic module with a smart bypass diode per cell under partial shading. Modeling and simulation have been implemented using MATLAB/Simulink. The proposal obtained a faster time response and elimination of oscillations at steady-state.
关键词： Smart Bypass Diode,Adaptive Perturb and Observe with Clustering,Maximum Power Point Tracking,Photovoltaic Solar Module,Partial Shading
更新于2025-09-11 14:15:04
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Proof of concept for a novel and smart shade resilient photovoltaic module
摘要： In this study, the performance of a shade resilient smart module is studied under a dynamic shading pattern. A smart module architecture is developed to mitigate the non-linear shading effect on the module performance. Partial shading decreases the output current of the shaded cells and affects the unshaded cells’ output power. After distributing the module cells into small groups, based on a least square support vector machine optimisation method, DC–DC buck converters compensate the decreased current levels, by adjusting the output current and voltage level from any individual group of cells. The system is simulated in the MATLAB Simulink environment, and the output results are presented. Results show that the module performs efficiently and output power of the unshaded groups of cells never decreased because of the effect of shading on the other groups. Additionally, the maximum output power is harvested from all groups simultaneously. Prototype hardware is designed and built to implement the proof of concept. The real-time results of hardware testing show that the smart module performs as expected and mitigates partially shaded conditions by extracting maximum power from each group, regardless of other groups shading condition.
关键词： least square support vector machine,dynamic shading pattern,MATLAB Simulink,shade resilient photovoltaic module,DC–DC buck converters
更新于2025-09-11 14:15:04
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A Novel Spline Model Guided Maximum Power Point Tracking Method for Photovoltaic Systems
摘要： This paper develops a novel data-driven maximum power point tracking (MPPT) method, which is of two-fold, to benefit the power generation of photovoltaics (PV) systems facing variable partial shading conditions (PSCs). Under each PSC, the proposed MPPT utilizes a compact data-driven modelling process to develop the power-voltage (P-V) curve model via the natural cubic spline. Next, the proposed MPPT method develops a novel natural cubic spline guided iterative search process to update the P-V curve model having multiple peaks and to promptly obtain the global maximum power point (GMPP) under the considered PSC. This is a pioneer study which discusses a GMPPT algorithm using a natural cubic spline based P-V curve model. The convergence of the MPP tracked by the proposed algorithm to the GMPP is theoretically ensured by the property of the natural cubic spline. The effectiveness and robustness of the proposed algorithm have been comprehensively evaluated via extensive simulation studies and experiments. Computational results demonstrate that the proposed algorithm is more efficient and effective to attain GMPPs under variable PSCs by comparing with recent MPPT methods using heuristic techniques, which are easily trapped into local MPP under variable PSCs.
关键词： photovoltaics systems,maximum power point tracking,Heuristic search,partial shading conditions,data-driven
更新于2025-09-11 14:15:04
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Data from multimodal functions based on an array of photovoltaic modules and an approximation with artificial neural networks as a scenario for testing optimization algorithms
摘要： This paper presents the data of multimodal functions that emulate the performance of an array of five photovoltaic modules under partial shading conditions. These functions were obtained through the PeV curves of a mathematical modeling and represent photovoltaic module with several local maximums and a global maximum. In addition, data from a feedforward neural network are shown, which represent an approximation of the multimodal functions that were obtained with mathematical modeling. The modeling of multimodal functions, the architecture of the neural network and the use of the data were discussed in our previous work entitled “Search for Global Maxima in Multimodal Functions by Applying Numerical Optimization Algorithms: A Comparison Between Golden Section and Simulated Annealing” [1]. Data were obtained through simulations in a C code, which were exported to DAT files and subsequently organized into four Excel tables. Each table shows the voltage and power data for the five modules of the photovoltaic array, for multimodal functions and for the approximation of the multimodal functions implemented by the artificial neural network. In this way, a dataset that can be used to evaluate the performance of optimization algorithms and system identification techniques applied in multimodal functions was obtained.
关键词： Multimodal functions,Photovoltaic modules,Artificial neural networks,Partial shading,Optimization algorithms
更新于2025-09-11 14:15:04
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Comparative Study of Different DC/DC Power Converter for Optimal PV System Using MPPT (P&O) Method
摘要： The objective of this work is to show when and how to choose the type of DC/DC power converter that must be introduced in a stand alone PV solar system’s optimization process, which is necessary to characterize the area’s climatic conditions of the system implementation, take into account the partial shading effect on the Photovoltaic Generator (PVG). In addition, determine the resistivity of the load that envisaged to be introduced with the help of the direct coupling responses of the PVG. Based on the MATLAB/Simulink software and the PVG data sheet choice, we could plot the current-voltage (I-V) and power-voltage (P-V) characteristic, using the manufacturer data and determining the maximum power point (MPP), as a function of the area’s weather conditions variations, at the same time observing the direct coupling response of the load adapted to the PVG. From this observation, we can specify the DC/DC power converter type to be introduced in the production optimization process of a standalone PV solar system. Thus, we must use a Boost converter type, if the direct coupling voltages responses are higher than those of MPP responses, or a Buck converter type in the opposite case, or both at the same time Buck-Boost converter type, if we need to increase and decrease the voltage.
关键词： MPPT,DC/DC power converter,resistive load,PVG,Direct coupling,shading effect
更新于2025-09-10 09:29:36
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[IEEE 2018 25th IEEE International Conference on Image Processing (ICIP) - Athens, Greece (2018.10.7-2018.10.10)] 2018 25th IEEE International Conference on Image Processing (ICIP) - Fast Non-Linear Methods for Dynamic Texture Prediction
摘要： This paper aims to develop a fast dynamic-texture prediction method, using tools from non-linear dynamical modeling, and fast approaches for approximate regression. We consider dynamic textures to be described by patch-level non-linear processes, thus requiring tools such as delay-embedding to uncover a phase-space where dynamical evolution can be more easily modeled. After mapping the observed time-series from a dynamic texture video to its recovered phase-space, a time-efficient approximate prediction method is presented which utilizes locality-sensitive hashing approaches to predict possible phase-space vectors, given the current phase-space vector. Our experiments show the favorable performance of the proposed approach, both in terms of prediction fidelity, and computational time. The proposed algorithm is applied to shading prediction in utility scale solar arrays.
关键词： solar energy,shading prediction,dynamic textures,phase-space reconstruction
更新于2025-09-10 09:29:36
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Performance enhancement by shade dispersion of Solar Photo-Voltaic array under continuous dynamic partial shading conditions
摘要： Partial shading adversely affects the output parameters of the Solar Photo-Voltaic (SPV) array because it causes shading of some panels and at the same time, other panels in the array remain unshaded. This also hinders the performance of SPV Array by causing multiple peaks in the voltage-power characteristics and abrupt changes in the row current. In this work, conventional Total Cross-Tied (TCT) panels are reconfigured based on the Arrow Sudoku (AS) puzzle pattern. This reconfiguration minimizes the mismatch of current between the rows. The physical locations of shaded and unshaded panels are changed in this reconfiguration technique, without altering their electrical connections. This reconfiguration can dodge the requirement of complex maximum power point tracking algorithms. The performance of the proposed approach is investigated in terms of maximum output power, mismatch power loss and utility factor. A comprehensive analysis of the proposed reconfiguration for different continuous dynamic partial shading conditions like top to bottom, diagonal and left to right shading, proves its efficacy. The outperforming nature of the proposed approach with respect to the existing state-of-art approaches for all cases of the partial shading conditions provides apparent evidences in support of its utility.
关键词： Arrow Sudoku (AS),Partial Shading,Shade dispersion,Array configurations,Power generation
更新于2025-09-10 09:29:36