Design, simulation, and hardware implementation of novel optimum operating point tracker of PV system using adaptive step size

Loukriz, Abdelhamid; Messalti, Sabir; Harrag, Abdelghani

doi:10.1007/s00170-018-2977-7

Cited by 26 publications

(16 citation statements)

References 19 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%

“…Among all the MPPT technologies, the P&O is the most commonly used technique because of its simplicity and accurate steady-state response but the drawback of this method is that it is applicable only at steady-state operating conditions of a solar PV system [28]. In order to overcome the drawback of conventional P&O, a variable step size P& O MPPT technique is used in article [54] to track MPP. At the start, a large step size is used to improve the tracking speed and finally step size is reduced to reduce the oscillations across the MPP.…”

Section: Variable Step Size Perturb and Observe Mppt Techniquementioning

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%

Section: Variable Step Size Perturb and Observe 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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“…INC procedure is a trusted MPPT technique [17][18][19][20]. The disadvantage of the P&O procedure, of oscillation of operating purpose across MPP throughout changing environmental requirements can be improved from the INC procedure by assessing the instantaneous PV panel conductance (IPV/VPV) with the incremental PV panel conductance (dIPV/dVPV).…”

Section: B Incremental Conductance Algorithmmentioning

confidence: 99%

Simulation of Standalone Three-Phase Photovoltaic System with SPWM and SVPWM Techniques

Saravanan*,

Sivakumaran

2020

IJITEE

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Maximum power point tracking is a method employed to produce the utmost power available from the photovoltaic module. To date, many algorithms for maximum power point tracking technique had been stated, every with its own capabilities. In this paper, a Luo converter with high-voltage conversion gain is employed to track photovoltaic panels at maximum power and to step up the voltage to a higher level. This work also aims to validate the performance of the maximum power point tracking system with Luo converter which utilizes incremental conductance techniques. Space vector modulation and sinusoidal pulse width modulations are the control techniques employed to control the three-phase voltage source converter. In order to measure the overall performance indices of the proposed system, a simulation is carried out in MATLAB / Simulink environment.

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“…Therefore, using a maximum power point tracking (MPPT) controller is the proper approach to derive the PV array at the maximum power point (MPP). Unique MPP occurs in the power -voltage (P-V) curve of the PV array under uniform weather condition, while under partial shading condition (PSC) numerous power peaks exist, which are known as the local maximum power points (LMPPs), except for the one with the highest power, which is called the global maximum power point (GMPP), which expands the challenge for the MPPT system to locate the right global power peak point [1]. The common target is to maximize the efficiency of the PV system by keeping the PV module at its maximum power operation [2].…”

Section: Introductionmentioning

confidence: 99%

A Novel Hybrid Approach for Maximizing the Extracted Photovoltaic Power under Complex Partial Shading Conditions

et al. 2020

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The convenient design of a maximum power point tracking (MPPT) controller is key to the success of photovoltaic (PV) system performance in order to maximize the extracted power, which is affected significantly by weather fluctuations, particularly partial shading condition (PSC). This paper proposes a novel hybrid MPPT approach based on a modified Perturb and Observe (P&O) assisted by the Extremum Seeking Control (ESC) strategy, combining the benefits of these simple algorithms and, meanwhile, eliminating their drawbacks. The proposed algorithm is able to track the maximum possible power under any level of weather fluctuation, with comprehensive enhancement on all aspects of high performance, boosting the PV array efficiency to 100%, reducing the convergence time to less than 100 ms, completely eradicating the oscillations around the achieved power, and maintaining the simplicity levels of both involved strategies. More importantly, this algorithm is applicable for any PV array configuration, which enhances the robustness and novelty of the algorithm. The performance is verified using MATLAB/Simulink. A boost converter is used for controlling DC to DC (direct current to direct current) power. The proposed algorithm’s performance is compared with the conventional P&O and incremental conductance (IC) algorithms under four different cases of weather conditions. The shortcomings of these algorithms are illustrated and the analysis confirms the effectiveness of the proposed algorithm accordingly.

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Design, simulation, and hardware implementation of novel optimum operating point tracker of PV system using adaptive step size

Cited by 26 publications

References 19 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

Simulation of Standalone Three-Phase Photovoltaic System with SPWM and SVPWM Techniques

A Novel Hybrid Approach for Maximizing the Extracted Photovoltaic Power under Complex Partial Shading Conditions

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