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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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Analysis and experimental validation of partial shading mitigation in photovoltaic system using integrated dc–dc converter with maximum power point tracker
摘要： An integrated dc–dc converter with maximum power point tracker (IDCCM) is an electronic device that can be utilised to increase the output power of a photovoltaic generation system. Despite its potential benefits, there is an absence of a comprehensive analytical work to characterise the IDCCM performance under different partial shading conditions. Thus, this work proposes an analytical method to evaluate the system with IDCCM for different shading pattern/intensity, irradiance, and temperature. To validate the analysis, the SPV 1020 boost-type IDCCM devices are incorporated into a 2?kWp experimental test-rig. The performance of the IDCCM is benchmarked against the conventional system that utilises bypass diodes (alone). The results indicate that the IDCCM improves the performance of the central inverter as it ensures the latter consistently tracks the global peak. Also, it was found that that the performance of the IDCCM depends on the shading intensity: at low intensity, the IDCCM is able to extract energy from the shaded modules; however, it is ineffective at high shading intensity. Furthermore, when the shading is absent, the energy gained by the IDCCM is offset by the continuous power losses due to its internal operations.
关键词： maximum power point tracker,partial shading,dc–dc converter,photovoltaic,IDCCM
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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Diffusion charge compensation strategy for power balancing in capacitor-less photovoltaic modules during partial shading
摘要： Photovoltaic arrays are highly susceptible to the partial shading that drastically reduces the power output by forming multiple peaks in the characteristics curves complicating the operation of maximum power point trackers (MPPTs). In this paper, a new diffusion charge compensation strategy for power enhancement in the arrays during partial shading has been proposed. The strategy eliminates the requirement of bypass diodes and passive energy storage components and uses the inherent diffusion capacitance of the module for power balancing during shading reducing cost and complexity. The strategy has been tested in MATLAB/Simulink environment and validated experimentally under various partial shading scenarios. The proposed strategy increases the power output and improves the tracking efficiency of the MPPTs by forming single maxima in the characteristics curves of the array during partial shading as compared to the conventional arrays with and without bypass diodes. Also, the proposed strategy excels in performance by increasing the power output of arrays during partial shading with a conversion efficiency of nearly 98%.
关键词： Photovoltaic,Power generation,Partial shading,Diffusion capacitance,Maximum power point tracker,Charge compensation
更新于2025-09-12 10:27:22
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Hardware Approach to Mitigate the Effects of Module Mismatch in a Grid-connected Photovoltaic System: A Review
摘要： This study reviews the hardware approach to mitigate the e?ects of module mismatch in a grid-connected photovoltaic (PV) system. Unlike software solutions, i.e. the maximum power tracking algorithm, hardware techniques are well suited to enhance energy yield because of their inherent ability to extract energy from the mismatched module. Despite the extra cost of the additional circuitry, hardware techniques have recently gained popularity because of their long-term ?nancial bene?ts. Notwithstanding the growing interest in this topic, review papers that provide updates on the technological developments of the three main hardware solutions, namely micro inverter, DC power optimizer, and energy recovery circuits, are lacking. This is in contrast to software solutions, which have had a considerable number of reputable reviews. Thus, a comprehensive review paper is appropriate at this juncture to provide up-to-date information on the latest topologies, highlight their merits/drawbacks, and evaluate their comparative performance.
关键词： micro inverter,hardware solutions,maximum power point tracker,photovoltaic,DC power optimizer,energy recovery,partial shading,module mismatch
更新于2025-09-12 10:27:22
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A hybrid shuffled frog‐leaping and pattern search algorithm for load frequency controller design of a two‐area system composing of PV grid and thermal generator
摘要： The shuffled frog-leaping algorithm (SFLA) is a nature-inspired metaheuristic swarm-based optimization algorithm, which mimics the social behavior of memetics. The SFLA comprises an arrangement of communicating virtual population of frogs divided into various memeplexes. Many attempts have been made to find the variant of the SFLA that performs better on a variety of optimization tasks by making the original SFLA more complex. This paper proposes the hybrid approach by combining the SFLA algorithm with a pattern search algorithm, which improves the original technique named as the hybrid shuffled frog-leaping and pattern search algorithm (hSFLA-PS). The superiority of the proposed hybrid algorithm over the original SFLA in terms of implementation time and solution quality is compared by taking several benchmark test functions. In the next step, the real application of the proposed hybrid approach in the engineering field is done by designing a proportional-integral-derivative (PID) controller for frequency regulation of a two-area power system that is composed of a photovoltaic (PV) grid and a thermal generator. It is observed that the hSFLA-PS–based PID controller is more effective for the load frequency control compared with conventional controllers tuned with genetic algorithm (GA) and firefly algorithm (FA).
关键词： automatic generation control (AGC),multiarea multisource power system,maximum power point tracker (MPPT),hybrid shuffled frog-leaping and pattern search algorithm (hSFLA-PS),PID controller,load frequency control (LFC)
更新于2025-09-11 14:15:04
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Modified hybrid multilevel inverter with reduced number of switches for PV application with smart IoT system
摘要： Internet of things (IoT) wind farm foundation is constructed using small wind turbines with cordless communication. In this work, the bound unified power quality conditioner has been proposed to upgrade the power quality in wind energy frameworks. The cluster computing is built a various downwind distances (between the turbines) can be examined with small reorganizing effort. Far away gathered information for an offline assessment of wind turbine power design, each turbine within the farm is furnished with an IoT foundation. This venture proposes another sun-based power era framework, which is made out of a dc/dc control converter in addition to another multilevel inverter with reduced number of switches. The dc to dc control converter incorporates are dc to dc SEPIC step-up(boost) converters are to change over the yield voltage of the sun controlled cell display into three self-ruling voltage sources with various associations. This proposed nine-level inverter is planned using a capacitor decision design with a full-interface control converter, related to course. The capacitor assurance design changes over the three yield wellsprings of dc–dc voltage control converters are using four-level dc voltage, and the full-associate control converter also changes over the four-level unidirectional dc into a nine-level bidirectional ac voltage. The new daylight based power period method creates a sine wave yield current to arrange with the used power and is energized into the system. The striking components of the new nine-level inverter are using nine semiconductor switches be used, and simply a solitary semiconductor switches are traded the high repeat at whatever point. A module is made and attempted to affirm the execution the proposed sun arranged power time system.
关键词： Photo-voltaic (PV) array,Maximum power point tracker (MPPT),Nine level inverter,Capacitor selection circuit
更新于2025-09-04 15:30:14