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[IEEE 2018 IEEE 18th International Power Electronics and Motion Control Conference (PEMC) - Budapest, Hungary (2018.8.26-2018.8.30)] 2018 IEEE 18th International Power Electronics and Motion Control Conference (PEMC) - Novel Segmentation Algorithm for Maximum Power Point Tracking in PV Systems Under Partial Shading Conditions
摘要： The paper proposes new MPPT Segmentation method for partial shading conditions. The proposed method is based on principle of division of the power-voltage curve into uniform segments and location of global maximum power point inside the chosen segment. In order to validate the algorithm, it was tested under different shading condition and with different PV systems. The simulation results show that the Segmentation algorithm precisely identifies the highest MPP on the power-voltage curve. The Segmentation algorithm was compared with standard P&O and also with other MPPT algorithms for partial shading conditions. This comparison showed that Segmentation algorithm provides better results and insures higher output power of the PV system than standard P&O and also with other MPPT algorithms. Simulation results also show that Segmentation algorithm works faster than P&O.
关键词： Segmentation algorithm,power-voltage curve,partial shading conditions,PV systems,MPPT
更新于2025-09-23 15:21:01
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Switched Capacitor-Coupled Inductor DCa??DC Converter for Grid-Connected PV System using LFCSO-Based Adaptive Neuro-Fuzzy Inference System
摘要： In this paper, the Levy °ight-based chicken swarm optimization (LFCSO) is proposed to follow the highest power of grid-joined photovoltaic (PV) framework. To analyze the grid-associated PV framework, the characteristics of current, power, voltage, and irradiance are determined. Because of the low yield voltage of the source PV, a big advance up converter with big productivity is required when the source PV is associated with the matrix power. A tale great advance up converter dependent on the exchanged capacitor and inductor is illustrated in this paper. The LFCSO algorithm with the adaptive neuro-fuzzy inference system is used to generate the control pulses of the transformer-coupled inductor DC–DC converter-less switched capacitor. While using the switched capacitor-coupled inductor, the voltage addition is expanded in the DC–DC converter and the power of PV is maximized. Here, the normal CSO algorithm is updated with the help of Levy °ight functions to generate optimal results. To get the accurate optimal results, the output of the proposed LFCSO algorithm is given as the input of the ANFIS technique. After that, the optimal results are generated and they provide the pulses for the system. The working guideline is analyzed and the voltage addition is derived with the utilization of the proposed technique. From that point forward, it predicts the exact maximum power of the converter according to its inputs. Under the variety of solar irradiance and partial shading conditions (PSCs), the PV system is tested and its characteristics are analyzed in di?erent time instants. The proposed LFCSO with ANFIS method is actualized in Simulink/MATLABstage, and the tracking executing is examined with a traditional method such as genetic algorithm (GA), perturb and observe (P&O) technique–neuro-fuzzy controller (NFC) and fuzzy logic controller (FLC) technique.
关键词： irradiance,Levy °ight-based chicken swarm optimization algorithm,partial shading conditions,transformer-less switched capacitor-coupled inductor DC–DC converter voltage,current,power,grid-connected PV,GA-NFC and FLC methods
更新于2025-09-23 15:19:57
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Simulation and experimental validation of fast adaptive particle swarm optimization strategy for photovoltaic global peak tracker under dynamic partial shading
摘要： The P–V characteristics of PV array has one peak under uniformly distributed irradiances. Whereas, there are many peaks in the P–V curve when the irradiance is not uniformly distributed over the PV array which is called “partial shading conditions (PSCs)”. Due to its robustness in tracking the global peak (GP) of many applications, metaheuristic techniques are used as maximum power point tracker (MPPT) for the PV system under PSCs. Particle swarm optimization (PSO) has been used in this paper for this purpose. Three problems associated with the PSO have been solved in this paper using a novel fast adaptive PSO (APSO) strategy. The problem of long convergence time has been solved by updating starting values of the duty ratio of the DC-DC boost converter to be at the anticipated places of peaks. This modification reduces the convergence time and avoids the premature convergence. The problem of stored GP in the memory will prevent the PSO from capturing the current GP in case of it is lower than the stored one. This problem is solved in this paper by updating the memorized GP with the current maximum power when it is not changed for two successive iterations. The third problem of sudden change in PSCs is solved by using the updated values of duty ratio at anticipated peaks as initial values for particles. To the best of the authors’ knowledge, these problems have not been discussed or solved before in the literature. A comparison to the state-of-the-art random initialization PSO strategy shows the superiority of the proposed APSO technique in terms of tracking speed and dynamic GP tracking. The results obtained from the simulation of this strategy proved its superiority in always tracking the GP under dynamic PSCs change.
关键词： Partial shading conditions,Photovoltaic,Dynamic irradiance change,Maximum power point tracker,Global peak,Adaptive particle swarm optimization
更新于2025-09-23 15:19:57
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Coordinated Control Strategy of a Combined Converter in a Photovoltaic DC Boost Collection System under Partial Shading Conditions
摘要： Series–parallel module technology can meet a DC converter’s requirements of high-power, large-capacity, and high step-up ratio in photovoltaic a DC boost collection system. However, the cascaded structure has the problem of voltage and current sharing between modules, and due to the duty cycle limitation of converters, the combined converters in the PV-converter unit have an unbalanced voltage, which may also exceed the voltage range under partial shading conditions (PSCs). First, aiming at the problems of voltage sharing, current sharing, and low modularity in the combined converter, this paper proposes a distributed control strategy. Then, by adopting a coordinated control strategy based on the sub-module cutting in and out, the problem that the combined converter cannot normally boost under PSCs was solved. The paper not only takes the advantages of the cascade structure of the combined converter to increase the power and voltage, but also improves its modularity to solve the problem of abnormal operation under uneven irradiation. This dramatically improves the adaptability of combined converters in a photovoltaic DC collection system. Finally, a small power experiment was carried out, where the experimental results veri?ed the e?ectiveness of the control strategy.
关键词： voltage-sharing and current-sharing control,partial shading conditions (PSCs),combined converter,photovoltaic DC boost collection system,coordinated control
更新于2025-09-19 17:13:59
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Implementation of a modified circuit reconfiguration strategy in high concentration photovoltaic modules under partial shading conditions
摘要： A modified circuit reconfiguration (MCR) technique for high concentration photovoltaic (HCPV) modules under partial shading conditions (PSCs) is proposed. Although HCPV modules have high conversion efficiency, they are sensitive to changing environments, especially PSCs. In response, the MCR strategy exploits the reconfigurable wiring of HCPV modules to implement the dynamic circuit reconfiguration (DCR) technique. In doing so, the hardware switches and complex control algorithms of the conventional DCR are simplified to reduce cost. Moreover, an irradiation estimation method is proposed for string current equalization using existing switches and connections. Two circuit-model prototypes, one square and one rectangular, were simulated to evaluate the proposed MCR strategy. Evaluation results demonstrate that the average output-power and conversion-efficiency improvements of the square and rectangular modules were around 31.07% and 5.00%, and 32.79% and 5.23%, respectively, when compared with the original Series connection topology. In addition, after reconfiguration by MCR, the module’s GMPP power was improved and the number of LMPPs reduced, which simplified the P-V curves. Furthermore, reliability tests demonstrated that with a small reconfiguration processing time ratio (0.06–0.28%), the daily energy harvested from the rectangular module was improved around 15%. The proposed MCR strategy has the advantages of reducing the hardware/software costs and lowering circuit losses. Additionally, the MCR method can increase the output power and efficiency of an HCPV module with high dispersion ability. The proposed method and prototypes can also be extended to larger scale arrays or implemented with other PV systems.
关键词： High concentration photovoltaic systems (HCPV),Maximum power point tracking (MPPT),Dynamic circuit reconfiguration,Partial shading conditions (PSCs)
更新于2025-09-16 10:30:52
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Fractional Chaos Maps with Flower Pollination Algorithm for Partial Shading Mitigation of Photovoltaic Systems
摘要： Solar Photovoltaic (PV) systems have become prominent and have attained the attention of energy engineers, governments and researchers. To achieve the maximum bene?t from the PV system in spite of its nonlinear characteristic and environmental conditions, ?nding a robust maximum power point tracking method is essential. Over two decades, various researchers proposed numerous MPPT methods, but they failed to evaluate their methods on consistency, reliability, and robustness over several numbers of runs. Most of the researchers examined one con?guration and they did not to consider the dynamic change in the irradiation conditions. Therefore, in this manuscript, the authors introduced a novel optimization technique Fractional chaotic Flower Pollination Algorithm (FC-FPA), by merging fractional chaos maps with ?ower pollination algorithm (FPA). The proposed technique, help FPA in extracting the Global Maximum Power Point (GMPP) under different partial shading patterns including with different PV array con?gurations. The proposed FC-FPA technique is tested and evaluated over 5 different patterns of partial shading conditions. The ?rst three patterns are tested over 4S con?guration made with Shell S36 PV module. The other two patterns are applied to the 4S2P con?guration of Shell SM55 PV panels. The performance of the proposed variant is investigated by tracking the GMPP for abruptly changing shade pattern. Exclusive statistical analysis is performed over several numbers of runs. Comparison with perturb and observe MPPT technique is established. These results con?rm that, the proposed method shows fast convergence, zero oscillation and rapid response for the dynamic change in irradiation with consistent behavior.
关键词： maximum power point tracker,?ower pollination algorithm,fractional chaos maps,partial shading conditions
更新于2025-09-16 10:30:52
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[IEEE 2019 4th World Conference on Complex Systems (WCCS) - Ouarzazate, Morocco (2019.4.22-2019.4.25)] 2019 4th World Conference on Complex Systems (WCCS) - A Comparative Study of Photovoltaic Array Configurations effect on the Output Power under Partial Shading Conditions
摘要： In the case of uniform conditions of temperature and radiation, the Power-Voltage characteristic of photovoltaic fields presents a Global Maximum Power Point (GMPP). In the case of non-uniform conditions, the Power-voltage characteristic has several Local Maximum Power Points (LMPPs), which can mislead conventional Maximum Power Point Tracking (MPPT) algorithms. The main objective of this study is to analyze the effect of partial shading on the output power by altering the adopted configuration of the photovoltaic PV array. The performance evaluation of each configuration is carried out by considering the Maximum Power Points (MPPs) generated, mismatching losses due to Partial Shading Conditions (PSCs), Open Circuit (OC) and Short Circuit (SC) conditions and the Fill Factor (FF). Photovoltaic field simulation is performed on Matlab / Simulink using a (5 * 3) configuration of photovoltaic panels.
关键词： Partial Shading Conditions,Maximum Power Point,Maximum Power Point Tracking,Photovoltaic Array Configuration
更新于2025-09-12 10:27:22
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[IEEE 2019 International Conference on Clean Electrical Power (ICCEP) - Otranto, Italy (2019.7.2-2019.7.4)] 2019 International Conference on Clean Electrical Power (ICCEP) - Comparative Analysis of Partial Shading Power Losses in Photovoltaic Topologies
摘要： The productivity of photovoltaic (PV) system is highly affected by the environmental conditions. The impact of partial shading conditions (PSC) on PV systems with various topologies is not necessarily the same. It is essential to demonstrate the role of PV topology in alleviating partial shading power losses. This paper presents a thorough comparative analysis of power losses incurred under partial shading conditions over different reported PV topologies. Power losses are analyzed for equally-rated PV systems subject to the same environmental conditions to highlight the privilege of some topologies over others. Power losses analysis is carried out based on the level of maximum power point tracking (MPPT).
关键词： partial shading conditions (PSC),power losses,photovoltaic (PV) system,maximum power point tracking (MPPT),PV topologies
更新于2025-09-12 10:27:22
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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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A hybrid intelligent GMPPT algorithm for partial shading PV system
摘要： Maximum power extraction for PV systems under partial shading conditions (PSCs) relies on the optimal global maximum power point tracking (GMPPT) method used. This paper proposes a novel maximum power point tracking (MPPT) control method for PV system with reduced steady-state oscillation based on improved particle swarm optimization (PSO) algorithm and variable step perturb and observe (P&O) method. Firstly, the grouping idea of shuffled frog leaping algorithm (SFLA) is introduced in the basic PSO algorithm (PSO–SFLA), ensuring the differences among particles and the searching of global extremum. Furthermore, adaptive speed factor is introduced into the improved PSO to improve the convergence of the PSO–SFLA under PSCs. And then, the variable step P&O (VSP&O) method is used to track the maximum power point (MPP) accurately with the change of environment. Finally, the superiority of the proposed method over the conventional P&O method and the standard PSO method in terms of tracking speed and steady-state oscillations is highlighted by simulation results under fast variable PSCs.
关键词： Variable step P&O (VSP&O),Global maximum power point tracking (GMPPT),Under partial shading conditions (PSCs),Particle swarm optimization (PSO),Photovoltaic (PV) system,Adaptive speed factor,Shuffled frog leaping algorithm (SFLA)
更新于2025-09-10 09:29:36