Novel MPPT techniques for photovoltaic systems under uniform irradiance and Partial shading

Mirza, Adeel Feroz; Ling, Qiang; Javed, Muhammad Yaqoob; Mansoor, Majad

doi:10.1016/j.solener.2019.04.034

Cited by 117 publications

(49 citation statements)

References 42 publications

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“…In this article, a comprehensive comparative analysis has been carried out on the recently developed MPPT techniques such as VSS-P&O [54], modified incremental conductance (MIC) [55], FOCV [56], fixed step size radial basis functional algorithm (FSS-RBFA) [57], variable step size radial basis functional algorithm (VSS-RBFA) [58], AFLC [52], PSO [59], and cuckoo search (CS) [60]. The schematic of a PV-fed MPPT controlled boost converter power generation system is illustrated in Figure 2.…”

Section: Of 27mentioning

confidence: 99%

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Different Conventional and Soft Computing MPPT Techniques for Solar PV Systems with High Step-Up Boost Converters: A Comprehensive Analysis

2020

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Solar photovoltaic (PV) systems are attracting a huge focus in the current energy scenario. Various maximum power point tracking (MPPT) methods are used in solar PV systems in order to achieve maximum power. In this article, a clear analysis of conventional MPPT techniques such as variable step size perturb and observe (VSS-P&O), modified incremental conductance (MIC), fractional open circuit voltage (FOCV) has been carried out. In addition, the soft computing MPPT techniques such as fixed step size radial basis functional algorithm (FSS-RBFA), variable step size radial basis functional algorithm (VSS-RBFA), adaptive fuzzy logic controller (AFLC), particle swarm optimization (PSO), and cuckoo search (CS) MPPT techniques are presented along with their comparative analysis. The comparative analysis is done under static and dynamic irradiation conditions by considering algorithm complexity, tracking speed, oscillations at MPP, and sensing parameters. The single-diode model PV panel and double-diode model PV panel are also compared in terms of fill factor (FF) and maximum power extraction. Clear insight is presented supporting the suitability of MPPT techniques for different types of converter configurations.

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Section: Of 27mentioning

confidence: 99%

“…From the literature survey [57], the fixed step size RBFA based NN structure is used in the MPPT controller design to reduce the system cost and size. The NN is an information processing system and it consists of highly interconnected neurons in the form of layers.…”

Section: Fixed Step Size Rbfa Based Mppt Techniquementioning

confidence: 99%

Different Conventional and Soft Computing MPPT Techniques for Solar PV Systems with High Step-Up Boost Converters: A Comprehensive Analysis

2020

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“…Solving these problems requires the use of the GMPPT technique such as the metaheuristic algorithms. In fact, the PSO [11][12][13], Genetic algorithm [14,15], Cucko search [16,17] and Ant colony optimization [18], are the most used algorithms because they can solve the multi objective problems. This paper focuses on the improvement of the tracking performances of the most used method that is the PSO algorithm.…”

Section: Introductionmentioning

confidence: 99%

PSO-SMC Controller Based GMPPT Technique for Photovoltaic Panel Under Partial Shading Effect

Ahmed¹,

Cherkaoui²,

Mokhlis³

2020

IJIES

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The effect of partial shading has a strong influence on the production of photovoltaic solar systems. In fact, when this phenomenon occurs, several power peaks appear on the power-voltage curve (P, V). These peaks are divided between the local maxima and a global maximum. This latter presents the superior maximum compared to the local maxima. Therefore, in this case, the conventional MPPT methods such as Incremental Conductance (INC) and Perturb and Observe (P&O) do not have the ability to detect and track the highest peak. Thus, this causes the important loss of power. To overcome this issue, this study focusses on the design of a new method able to distinguish the global maximum power point (GMPP). This method is composed of two loops of control, the particle swarm optimization (PSO) and the sliding mode controller (SMC). The first loop, which consists of PSO, sweeps the power-voltage curve by looking for the GMPP, after that generates the reference of corresponding optimal voltage. While the second loop is designed to track the voltage reference by acting on the duty cycle of the SEPIC converter. This method is characterized by its robustness against the parameters' changes and the modeling error thanks to the SMC controller designed. In addition, the PSO used improves efficiency of the PV modules subjected to the non-uniform meteorological conditions. The simulation results show the rapidity and accuracy of the proposed method for localizing and tracking the global power maximum. In fact, according to the results, the proposed controller has a convergence time about 63ms depending on the shading pattern. Moreover, it is able to detect the meteorological conditions change. To prove the advantages of the proposed technique, this one is compared with the hybrid controllers those composed of P&O and INC combined with BSC and SMC controllers.

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“…A PV module's output power is, however, plagued by irradiance levels, temperature, loads, and so on, which undoubtedly impair conversion efficiency. A number of studies in the literature have addressed such problems and improved the overall conversion efficiency of a PV system [5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27]. Ahmed et al proposed a design strategy of perturbation parameters based on the HC algorithm for PV MPPT control [5].…”

Section: Introductionmentioning

confidence: 99%

“…Guo et al introduced a new MPPT method based on a modified cat swarm optimization (MCSO) to achieve MPP [21]. Mirza et al utilized a novel MPPT technique, including adaptive cuckoo search optimization algorithm (ACSOA), general regression neural network (GRNN) with fruit fly optimization algorithm (FFOA), and dragonfly optimization algorithm (DFOA), to track the MPP [22]. Li et al presented a current sensorless MPPT algorithm [23].…”

Section: Introductionmentioning

confidence: 99%

A high-performance MPPT algorithm combining advanced three-point weight comparison and temporary stopped running strategy for PV systems

Liu

2019

IEICE Electron. Express

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This paper proposes a new maximum power point tracking (MPPT) control strategy, including a boost converter temporary stopped running (TSR) strategy and an advanced three-point weight comparison method (ATPWC). The proposed ATPWC was used to detect three power points of a photovoltaic (PV) module output, and a microcontroller unit (MCU) was used to calculate the slope of the three power points and to perform MPPT so as to improve the system's conversion efficiency. The proposed method was successfully applied to an independent solar power generation system, in which the PV module was connected to a boost converter and then connected in series with an inverter to a single-phase 110 VAC/60 Hz output and connected to the power grid. The measured results showed that, in terms of the TSR control strategy, when the system output met a load of 110 Vrms, TSR could reduce switching loss and conduction loss and result in a 10% higher overall system conversion efficiency than that of traditional control. In terms of the MPPT algorithm, actual measurements were carried out under an irradiance level of 100 W/m 2 ∼700 W/m 2. Versus traditional hill climbing (HC) algorithm, the efficiency of the proposed ATPWC was better.

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Novel MPPT techniques for photovoltaic systems under uniform irradiance and Partial shading

Cited by 117 publications

References 42 publications

Different Conventional and Soft Computing MPPT Techniques for Solar PV Systems with High Step-Up Boost Converters: A Comprehensive Analysis

Different Conventional and Soft Computing MPPT Techniques for Solar PV Systems with High Step-Up Boost Converters: A Comprehensive Analysis

PSO-SMC Controller Based GMPPT Technique for Photovoltaic Panel Under Partial Shading Effect

A high-performance MPPT algorithm combining advanced three-point weight comparison and temporary stopped running strategy for PV systems

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