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Relevant bibliographies by topics / Maximum Power Point Technique

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Journal articles

Academic literature on the topic 'Maximum Power Point Technique'

Author: Grafiati

Published: 6 September 2023

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Journal articles on the topic "Maximum Power Point Technique"

1

Fyali, Jibji-Bukar, and Anaya-Lara Olimpo. "Offline Photovoltaic Maximum Power Point Tracking." E3S Web of Conferences 64 (2018): 06007. http://dx.doi.org/10.1051/e3sconf/20186406007.

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As more renewable energy sources are connected to the electrical grid, it has become important that these sources participate in providing system support. It has become needful for grid-connected solar photovoltaics to participate in support functions like frequency support. However, photovoltaic systems need to implement a maximum power tracking algorithm to operate at maximum power and a method for de-loading photovoltaic systems is necessary for participation in frequency support. Some conventional maximum power tracking techniques are implemented in real time and will not adjust their output fast enough to provide system support while other may respond fast but are not very efficient in tracking the maximum power point of a photovoltaic system. This paper presents an offline method to estimate the maximum power voltage and current based on the characteristics of the photovoltaics module available in the datasheet and using the estimated values to operate the photovoltaics at maximum power. The performance of this technique is compared to the conventional technique. This paper also describes how the photovoltaic system can be de-loaded.

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2

Ramkumar, P. V., R. S. Mishra, and Aman Khurana. "Variation in Maximum Power and Maximum Power point with different parameter analysis." INTERNATIONAL JOURNAL OF ADVANCED PRODUCTION AND INDUSTRIAL ENGINEERING 3, no. 1 (2018): 33–35. http://dx.doi.org/10.35121/ijapie201801128.

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Variation in Maximum power and Maximum power point i.e. voltage at which Maximum Power is observed with different parameters are studied. Parameters are insolation, temperature, series resistance, shunt resistance, and reverse saturation current of the diode. For this I-V and P-V characteristics with a variation of these parameters are analyzed. For finding out the Maximum PowerPoint, Perturb & Observe technique is used. Variation in these points is different with each parameter. All simulation work is done in MATLAB.

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3

Cabral Cavalcanti, Marcelo, Kleber Carneiro de Oliveira, Gustavo Medeiros de Souza Azevedo, and Francisco de Assis dos Santos Neves. "Comparative Study Of Maximum Power Point Tracking Techniques For Photovoltaic Systems." Eletrônica de Potência 12, no. 2 (2007): 163–71. http://dx.doi.org/10.18618/rep.2007.2.163171.

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4

Situmorang, Marhaposan, Kurnia Brahmana, and Takdir Tamba. "Solar Charge Controller Using Maximum Power Point Tracking Technique." Journal of Physics: Conference Series 1230 (July 2019): 012090. http://dx.doi.org/10.1088/1742-6596/1230/1/012090.

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5

Yatimi, Hanane, and Elhassan Aroudam. "Standalone Photovoltaic System with Maximum Power Point Tracking." International Journal of System Dynamics Applications 7, no. 3 (2018): 94–111. http://dx.doi.org/10.4018/ijsda.2018070105.

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In this article, on the basis of studying the mathematical model of a PV system, a maximum power point tracking (MPPT) technique with variable weather conditions is proposed. The main objective is to make a full utilization of the output power of a PV solar cell operating at the maximum power point (MPP). To achieve this goal, the incremental conductance (IC) MPPT technique is applied to an off-grid PV system under varying climatic conditions, in particular, solar irradiance and temperature that are locally measured in Northern Morocco. The output power behavior and the performance of the system using this technique have been analyzed through computer simulations to illustrate the validity of the designed method under the effect of real working conditions.

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6

Akki, Gangadhar Mahalingappa, and Srivani S G. "Maximum Power Point Tracking using modified Particle Swarm Optimization Technique." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 2759–70. http://dx.doi.org/10.22214/ijraset.2022.42951.

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Abstract: Maximum power point tracking is an essential and vital technique generally applied in SPV technology under uniform and partial shading conditions. The existence of partially shaded conditions leads to the presence of several peaks on PV curves, which decrease the efficiency of conventional techniques. Hence, the proposed algorithm, which is based on the modified particle-swarm optimization (MPSO) technique, increases the output power of PV systems under such abnormal conditions and has a better performance compared to other methods. The proposed method is examined under several scenarios for partial shading condition and non-uniform irradiation levels using Matlab and to investigate its effectiveness adequately. The experimental results show that the proposed method can decrease the interference of the local maximum power-point to cause the PV system to operate at a global maximum power-point. The efficiency of the MPSO is achieved with the least number of steady-state oscillations under partial shading conditions as compared with the other methods. Keywords: Photovoltaic(PV), Particle Swarm Optimization(PSO), Modified Particle Swarm Optimization(MPSO), Partial shading condition(PSC), Velocity step function.

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7

Hendrawati, Dwiana, Adi Soeprijanto, and Mochamad Ashari. "High Performance Maximum Power Point Tracking on Wind Energy Conversion System." International Journal of Power Electronics and Drive Systems (IJPEDS) 8, no. 3 (2017): 1359. http://dx.doi.org/10.11591/ijpeds.v8.i3.pp1359-1367.

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<span>This paper presents the maximum power point tracking (MPPT) to extract the power of wind energy conversion system (WECS) using the Firefly Algorithm (FA) algorithm. This paper aims to present the FA as one of the accurate algorithms in MPPT techniques. Recently, researchers tend to apply the MPPT digital technique with the P n O algorithm to track MPP. On the other hand, this Paper implements the FA included in the digital classification to improve the performance of the MPPT technique. Therefore, the FA tracking results are verified with P n O to show the accuracy of the MPPT algorithm. The results obtained show that performance is higher when using the FA algorithm</span>

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8

Bagade, Mr P. D. "Maximum Power Point Tracking Using Indirect Adaptive Control Algorithm and Comparison with Other MPPT Technique." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (2021): 1091–97. http://dx.doi.org/10.22214/ijraset.2021.37501.

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Abstract: Solar photovoltaic (PV) systems, which generate electricity regarded to be a renewable energy source, have great potential. Compared with the traditional power resources, they develop increasingly swiftly. However, the issue is that the environment varies depending upon on generation of Solar panels. The fundamental problem with a PV system is that, according to varied conditions (i.e., irradiance, ambient temperature, etc.), the quantity of energy that photovoltaic systems generate varies. The continued monitoring of the maximum power point (MPP) is needed to maximize the output of a PV system. In this paper, the maximum power point tracking technique (MPPTS) for a photovoltaic system to retrieve the maximum power from the solar arrays in adverse conditions, including changes in irradiation and temperature on the Voltage-current and Voltage-power characteristics of the photovoltaic array modulus is proposed. An indirect adaptive control technique and evaluated with various maximum power point tracking techniques is also stated. Keywords: photovoltaic, maximum power point, maximum power point tracking, indirect adaptive control.

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9

Touhami, Ghaitaoui, Laribi Sliman, Arama Fatima Zohra, Harrouz Abdelkader, and Drici Khalil. "Extraction of Maximum Power of Organic Photovoltaic Generator Using MPPT Technique." Applied Mechanics and Materials 905 (February 15, 2022): 1–6. http://dx.doi.org/10.4028/p-75cf24.

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The amount of energy generated by an Organic Photovoltaic (OPV) system depends mainly on the following.Such as solar temperatures and irradiations. Depending on the high cost and low efficiency of an organic photovoltaic system, it can be operated at the maximum power point (MPPT) that changes with solar radiation, temperature or load variations. This work presents an improved algorithm for tracking the maximum power point (MPPT) of a OPV system under real climatic conditions. The proposed MPPT is based on the perturbation and observation (P&O) strategy and the variable pitch method which controls the load voltage to ensure optimum operating points of a OPV system.

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10

Slimi, Mohammed, Abdelkrim Boucheta, and Bousmaha Bouchiba. "Maximum power control for photovoltaic system using intelligent strategies." International Journal of Power Electronics and Drive Systems (IJPEDS) 10, no. 1 (2019): 423. http://dx.doi.org/10.11591/ijpeds.v10.i1.pp423-432.

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<p>The power supplied by photovoltaic DC–DC converter is affected by two factors, sun irradiance and temperature. Therefore, to improve the performance of the PV system; a mechanism to track the maximum power point (MPP) is required. Conventional maximum power point tracking approaches, such as observation and perturbation technique present some difficulties in identifying the true MPP. Therefore, intelligent systems including fuzzy logic controllers (FLC) are introduced for the maximum power point tracking system (MPPT). In this paper, we present a comparative study of the PV standalone system which is controlled by three techniques. The first one is conventional based on the observation and perturbation technique, the other are intelligent based on fuzzy logic according Mamdani and Takagi-Sugeno models. The investigations show that the fuzzy logic controllers provide the best results and Takagi-Sugeno model presents the lower overshoot value.</p>

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