MPPT Techniques of the Solar PV under Partial Shading

Lakhdara, Amira; Bahi, Tahar; Moussaoui, Abdelkrim

doi:10.1109/ssd52085.2021.9429315

Cited by 9 publications

(5 citation statements)

References 9 publications

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“…According to Figure 15, it showed that the tracking speed response and steady-state performance of the improved cuckoo algorithm proposed were both better than those of the traditional one. The test cases used in the simulation in this paper refer to many test cases of intelligent MPPT methods proposed before, such as the particle swarm optimization algorithm (PSO) [26], firefly algorithm (FA) [27], and conventional CSLBA, where photovoltaic module arrays are shaded under a different number of modules and shading ratios, so there is a single peak to four peaks shown in the P-V output characteristic curves, to verify that the proposed intelligent MPPT method can track the maximum power point. Table 7 gives the performance in terms of the average tracking time and the average maximum power for 10 trials among the proposed CSLBOA, conventional CSLBA, the PSO method proposed in [26], and the FA method proposed in [27].…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The test cases used in the simulation in this paper refer to many test cases of intelligent MPPT methods proposed before, such as the particle swarm optimization algorithm (PSO) [26], firefly algorithm (FA) [27], and conventional CSLBA, where photovoltaic module arrays are shaded under a different number of modules and shading ratios, so there is a single peak to four peaks shown in the P-V output characteristic curves, to verify that the proposed intelligent MPPT method can track the maximum power point. Table 7 gives the performance in terms of the average tracking time and the average maximum power for 10 trials among the proposed CSLBOA, conventional CSLBA, the PSO method proposed in [26], and the FA method proposed in [27]. Although the capacity of the photovoltaic module array tested in [26,27] is different from that in this paper, from the test results of the PSO [26], the FA [27] and the conventional CSLBA show that these three methods can all also track the GMPPs under different shading conditions.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Table 7 gives the performance in terms of the average tracking time and the average maximum power for 10 trials among the proposed CSLBOA, conventional CSLBA, the PSO method proposed in [26], and the FA method proposed in [27]. Although the capacity of the photovoltaic module array tested in [26,27] is different from that in this paper, from the test results of the PSO [26], the FA [27] and the conventional CSLBA show that these three methods can all also track the GMPPs under different shading conditions. However, either of their speed responses is far inferior to the improved cuckoo algorithm proposed in this paper.…”

Section: Simulation Resultsmentioning

confidence: 99%

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Global Maximum Power Point Tracking of Photovoltaic Module Arrays Based on Improved Cuckoo Search Algorithm

2022

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In this paper, an improved cuckoo search-learning-based optimization algorithm (CSLBOA) for the maximum power point tracking (MPPT) of a photovoltaic module array is presented. For any shading discovered on a photovoltaic module array, there will be more than one maximum power point (MPP) observed in the power–voltage (P–V) characteristic curve of the photovoltaic module array. However, only the local maximum power point (LMPP) can be tracked by the traditional maximum power point tracker, but not the global maximum power point (GMPP). Therefore, in this paper, an intelligent maximum power point tracker based on an improved cuckoo search algorithm is presented to address the abovementioned issue. First, Matlab software is used to simulate the P–V characteristic curves of a photovoltaic module array with single-peak, double-peak, triple-peak, and quadruple-peak values while the photovoltaic module arrays are under different shading conditions. Second, the improved cuckoo search algorithm proposed is applied to track the global maximum power point precisely and efficiently. According to the simulation results, it shows that the improved cuckoo search algorithm has a better tracking speed response and steady-state performance than those of traditional ones.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Simulation Resultsmentioning

confidence: 99%

Section: Simulation Resultsmentioning

confidence: 99%

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Global Maximum Power Point Tracking of Photovoltaic Module Arrays Based on Improved Cuckoo Search Algorithm

2022

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“…A partial shading condition is an event where some parts of the module's surface are obstructed from receiving the maximum sunlight, resulting in reduced output power. A nearby shadow from a tree, poles, dirt, and bird's dropping are among the reason for the partial shading [5][6][7][8]. The shadowed cells potentially a hotspota heating effect commonly to a PV module due to cell operating in reverse biased, thus becoming a 'load' with respect to other healthy cells [9,10].…”

Section: Partial Shadingmentioning

confidence: 99%

Characterization of Photovoltaic Module Under Random Partial Shading Conditions

Rahman

Tajuddin

Mukhtar

et al. 2022

J. Phys.: Conf. Ser.

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Photovoltaic (PV) systems have been gaining the pace in energy market for the past decade. Reducing capital costs and government incentives are among other factors that drive the PV forward. PV massively depends on the sunlight that falls onto its surface to generate electricity. However, partial shading events are a common nemesis to the PV systems. It happened when some part of the PV panel’s surface did not receive the maximum light energy. It can be caused by passing clouds, nearby trees or poles, leaves, bird dropping, etc. The harvested power drops during this event, hence the overall system’s efficiency is also affected. This paper investigates the characteristic of the single panel system during various partial shading conditions. The identification of the maximum power point (MPP) location and the intensity of the event to occur at the region on the P-V plane is given priority in this study. All in all, this study aims to provide useful information for considerations in the process of designing the converters.

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“…A PV array is made up with multiple PV modules placed in parallel to enhance current and in series to provide a greater voltage. Under partial shading, several peaks, maximum points both locally and globally are seen in the feature Ppv=f(Vpv) [11] Fig. 1.…”

Section: Introductionmentioning

confidence: 99%

Performance of Meta-heuristic Algorithm for a Photovoltaic System under Partial Shade

2023

ijSmartGrid

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Renewable energies are very attractive for the electrical energy production and consequently the power plants installation is growing sharply to meet the energy constant demand in emerging countries. Indeed, these countries then invest too many means to maximize their available natural resources, in particular hydraulic, solar, wind, biomass, etc.., in order to reduce their dependence on fossil fuels. The production of electricity from solar energy as an alternative to fossil fuels continues to be the subject of several research works. However, the problem is that the production of these plants is intermittent because it depends mainly depending on the temperature and the amount of radiation. However, several techniques have been created to ensure operation at the maximum power point of the photovoltaic generator whatever the climatic conditions. Partial shading which is a non-uniform distribution of irradiation. This phenomenon is a problem that affects the proper functioning of the photovoltaic panel because the power-voltage characteristic causes several maximum points to appear, one of which is global and the others are called partial. However, our optimization algorithm must ensure that we operate at the global point and not at the partial point. So, this work concerns the study of the effect of the non-uniform variation of the level of irradiation known under the name of partial shading on photovoltaic installations and to evaluate the performance and the interest of the use Meta-heuristic algorithms for monitoring the maximum power point compared to those of classical optimization such as DISMC, PSO, CS and GWO. The study validated by numerical simulations taking into account different partial shading scenarios. The analysis of the results proves the best performances a meta-heuristic algorithm, whatever the maximum power point position.

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MPPT Techniques of the Solar PV under Partial Shading

Cited by 9 publications

References 9 publications

Global Maximum Power Point Tracking of Photovoltaic Module Arrays Based on Improved Cuckoo Search Algorithm

Global Maximum Power Point Tracking of Photovoltaic Module Arrays Based on Improved Cuckoo Search Algorithm

Characterization of Photovoltaic Module Under Random Partial Shading Conditions

Performance of Meta-heuristic Algorithm for a Photovoltaic System under Partial Shade

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