Temat: maximum power point tracking

Skocz do pozycji: 1.

Tytuł:: A control topology for frequency regulation capability in a grid integrated PV system
Autorzy:: Kumar, Ritesh
Sahu, Balakrushna
Shiva, Chandan Kumar
Rajender, B.
Tematy:: frequency controller
maximum power point tracking (MPPT)
photovoltaic (PV)
power system
pseudo maximum power point tracking (PMPPT); Pokaż więcej
Data publikacji:: 2020
Powiązania:: https://bibliotekanauki.pl/articles/140902.pdf Link otwiera się w nowym oknie
Źródło:: Archives of Electrical Engineering; 2020, 69, 2; 389-401
1427-4221
2300-2506
Pojawia się w:: Archives of Electrical Engineering
Opis:: Photovoltaic (PV) cells are very costly because of the silicon element which is not cheaply available. Usually, PV cells are preferred to be used at maximum efficiency. Therefore, PV plants are emphasized to extract maximum power from PV cells. When inertia free PV plants are integrated into the grid in large numbers, the problem of maintaining system stability subjected to load perturbation is quite difficult. In response to this, a control topology is being an approach to make available the PV cells in maintaining system stability by utilizing the system frequency deviation as feedback to the controller. To implement this, the PVs are operated at Maximum Power Point Tracking (MPPT). This allows the PV to operate at Pseudo Maximum Power Point tracking (PMPPT) which makes it possible to run the PV with reserve power capacity without employing a battery for storage. The control strategy has been implemented over a two-stage power conversion model of the PV system. The simulation results showed that the proposed control PMPPT topology is effective in frequency regulation capability as compared to the MPPT technique.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: An experiment method of maximum power point tracking for photovoltaic panel based on hardware in loop simulation
Autorzy:: Nguyen, Hoai Phong
Nguyen, Thuan Thanh
Tematy:: maximum power point tracking
hardware-in-loop
OPAL-RT simulator; Pokaż więcej
Data publikacji:: 2024
Powiązania:: https://bibliotekanauki.pl/articles/59111766.pdf Link otwiera się w nowym oknie
Źródło:: Archives of Electrical Engineering; 2024, 73, 3; 831-847
1427-4221
2300-2506
Pojawia się w:: Archives of Electrical Engineering
Opis:: Hardware-in-loop (HIL) is a technique that allows one to simulate the behavior of a technical system in real time. This makes it a valuable tool for controller validation in many fields including photovoltaic systems. This paper proposes an experiment solution for maximizing power of the photovoltaic (PV) panel using HIL simulation. The proposed HIL configuration consists of two parts. The first part includes the PV, the DC-DC boost converter and load are simulated using HYPERSIM and run on the real-time OPAL-RT simulator. The second part is the real MPPT controller based on the perturbation and observation (P&O) algorithm for maximum power point tracking (MPPT) using the TMS320F28379D board. To evaluate the effectiveness of the proposed HIL configuration, the paper also presents a software-in-loop (SIL) simulation configuration for MPPT including the PV, the boost converter, load and MPPT controller based on the P&O algorithm which are simulated using HYPERSIM and run on the real-time OPAL-RT simulator. The obtained results by the proposed HIL configuration are compared with those gained by the SIL configuration on the A10J-S72-175 PV module under different irradiance and temperature levels. The obtained results show that the proposed HIL configuration can be used to perform MPPT experiments for PV under different environmental conditions. In addition, the compared results show that the proposed HIL configuration fulfills its usefulness for evaluating the practical MPPT controllers.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Application of system modeling and the simulation of photovoltaic production
Autorzy:: Glaa, R.
Jeddi, N.
Lakhoua, N.
Amraoui, L. E.
Tematy:: photovoltaic systems
Maximum Power Point Tracking (MPPT)
systemic modelin
OOPP method; Pokaż więcej
Data publikacji:: 2017
Powiązania:: https://bibliotekanauki.pl/articles/102422.pdf Link otwiera się w nowym oknie
Źródło:: Advances in Science and Technology. Research Journal; 2017, 11, 3; 48-55
2299-8624
Pojawia się w:: Advances in Science and Technology. Research Journal
Opis:: The major goal of electric power companies is to give the quantity of electricity claimed by each consumer. This does not function without posing problems because consumption increases with time and the production will not be adequate to cope with the need for electricity. Besides, we may face environmental issues such as the increase of CO2 in the world, the conditions of producing energy, the difficulty of easily, quickly and economically storing large quantities of electricity. One of the solutions that could restrict and solve the problems is the production of renewable energy. In this paper, we focus on photovoltaic products; we present the photovoltaic conversion chain such as modeling, adaptation and control systems, as well as photovoltaic characteristics and system analysis methodology and planning of a photovoltaic system based on the OOPP method (Objectives Oriented Project Planning).
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Development of rapid and reliable cuckoo search algorithm for global maximum power point tracking of solar PV systems in partial shading condition
Autorzy:: Bentata, Khadidja
Mohammedi, Ahmed
Benslimane, Tarak
Tematy:: photovoltaic system
maximum power point tracking
partial shading
cuckoo search algorithm; Pokaż więcej
Data publikacji:: 2021
Powiązania:: https://bibliotekanauki.pl/articles/1845518.pdf Link otwiera się w nowym oknie
Źródło:: Archives of Control Sciences; 2021, 31, 3; 495-526
1230-2384
Pojawia się w:: Archives of Control Sciences
Opis:: The solar photovoltaic output power fluctuates according to solar irradiation, temperature, and load impedance variations. Due to the operating point fluctuations, extracting maximum power from the PV generator, already having a low power conversion ratio, becomes very complicated. To reach a maximum power operating point, a maximum power point tracking technique (MPPT) should be used. Under partial shading condition, the nonlinear PV output power curve contains multiple maximum power points with only one global maximum power point (GMPP). Consequently, identifying this global maximum power point is a difficult task and one of the biggest challenges of partially shaded PV systems. The conventional MPPT techniques can easily be trapped in a local maximum instead of detecting the global one. The artificial neural network techniques used to track the GMPP have a major drawback of using huge amount of data covering all operating points of PV system, including different uniform and non-uniform irradiance cases, different temperatures and load impedances. The biological intelligence techniques used to track GMPP, such as grey wolf algorithm and cuckoo search algorithm (CSA), have two main drawbacks; to be trapped in a local MPP if they have not been well tuned and the precision-transient tracking time complex paradox. To deal with these drawbacks, a Distributive Cuckoo Search Algorithm (DCSA) is developed, in this paper, as GMPP tracking technique. Simulation results of the system for different partial shading patterns demonstrated the high precision and rapidity, besides the good reliability of the proposed DCSA-GMPPT technique, compared to the conventional CSA-GMPPT.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Development of rapid and reliable cuckoo search algorithm for global maximum power point tracking of solar PV systems in partial shading condition
Autorzy:: Bentata, Khadidja
Mohammedi, Ahmed
Benslimane, Tarak
Tematy:: photovoltaic system
maximum power point tracking
partial shading
cuckoo search algorithm; Pokaż więcej
Data publikacji:: 2021
Powiązania:: https://bibliotekanauki.pl/articles/1845531.pdf Link otwiera się w nowym oknie
Źródło:: Archives of Control Sciences; 2021, 31, 3; 495-526
1230-2384
Pojawia się w:: Archives of Control Sciences
Opis:: The solar photovoltaic output power fluctuates according to solar irradiation, temperature, and load impedance variations. Due to the operating point fluctuations, extracting maximum power from the PV generator, already having a low power conversion ratio, becomes very complicated. To reach a maximum power operating point, a maximum power point tracking technique (MPPT) should be used. Under partial shading condition, the nonlinear PV output power curve contains multiple maximum power points with only one global maximum power point (GMPP). Consequently, identifying this global maximum power point is a difficult task and one of the biggest challenges of partially shaded PV systems. The conventional MPPT techniques can easily be trapped in a local maximum instead of detecting the global one. The artificial neural network techniques used to track the GMPP have a major drawback of using huge amount of data covering all operating points of PV system, including different uniform and non-uniform irradiance cases, different temperatures and load impedances. The biological intelligence techniques used to track GMPP, such as grey wolf algorithm and cuckoo search algorithm (CSA), have two main drawbacks; to be trapped in a local MPP if they have not been well tuned and the precision-transient tracking time complex paradox. To deal with these drawbacks, a Distributive Cuckoo Search Algorithm (DCSA) is developed, in this paper, as GMPP tracking technique. Simulation results of the system for different partial shading patterns demonstrated the high precision and rapidity, besides the good reliability of the proposed DCSA- GMPPT technique, compared to the conventional CSA-GMPPT.
Dostawca treści:: Biblioteka Nauki

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na półce

Skocz do pozycji: 6.

Tytuł:: Maximum power point tracking controller for photovoltaic system based on chaos quantum particle swarm optimization – moth-flame optimization hybrid model
Autorzy:: Wang, Zili
Yuan, Weilu
Tematy:: maximum power point tracking
moth-flame optimization
particle swarm optimization
photovoltaic system; Pokaż więcej
Data publikacji:: 2024
Powiązania:: https://bibliotekanauki.pl/articles/59111765.pdf Link otwiera się w nowym oknie
Źródło:: Archives of Electrical Engineering; 2024, 73, 3; 663-680
1427-4221
2300-2506
Pojawia się w:: Archives of Electrical Engineering
Opis:: To convert photovoltaic arrays to solar energy in a more efficient way, this paper has proposed a maximum power point tracking controller model based on the chaotic quantum particle swarm-mothballing hybrid algorithm. First, the optimization of the particle swarm algorithm is designed to solve defects, such as premature maturity by using the quantum and chaotic strategies. The mothballing algorithm is introduced to help the model find global optimization-seeking more quickly. After that, further optimization was made to operate the tracking model in both offline and real-time parameters. The conductivity increment method and the perturbation observation method were adopted to effectively track the model under different temperatures and light intensities. Finally, the simulation and analysis experiments were carried out on the Simulink platform. The study’s proposed maximum power point tracking controller achieved a steady-state accuracy η2 of 99.84%. In summary, the study has proposed a hybrid intelligent algorithm with extraction of internal parameters. The maximum power point tracker based on the proposed method is proved to be both effective and accurate.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Improving the Performance of Hybrid SystemBased Renewable Energy by Artificial Intelligence
Autorzy:: Kechida, Abdelhak
Gozim, Djamal
Toual, Belgacem
Tematy:: AI
Artificial intelligence
MPPT
maximum power point tracking
performance
hybrid system
converter; Pokaż więcej
Data publikacji:: 2024
Powiązania:: https://bibliotekanauki.pl/articles/58970768.pdf Link otwiera się w nowym oknie
Źródło:: Power Electronics and Drives; 2024, 9 (44); 397-411
2451-0262
2543-4292
Pojawia się w:: Power Electronics and Drives
Opis:: Artificial intelligence (AI) has emerged as a critical indicator of technological progress in recent years. The present study uses AI to enhance the efficiency of a hybrid system that operates on renewable energy sources. The hybrid system we propose consists of a wind energy conversion system (WECS), a photovoltaic system (PVS), a battery storage system (BSS) and electronic power converters. AI manages these converters cleverly. We use the maximum power point tracking (MPPT)-based fuzzy logic controller (FLC) to regulate the boost converter in the PVS and the WECS. We propose an adaptive neuro fuzzy inference system (ANFIS)-based controller to control the bidirectional converter of the storage system. The design of this module intends to maintain voltage stability on the direct current (DC) bus and improve energy quality. We study and simulate this system using MATLAB/SIMULINK. The results of this research show that the FLC-MPPT technique outperforms the Perturb and Observe (P&O) algorithm in terms of efficiency in power production. The console we propose also shows good results in maintaining the voltage stability in the DC bus in comparison with the proportional integral (PI) controller. This paper has the potential to contribute to the development of environmentally friendly resource performance.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Optimizing the operation of a photovoltaic generator by a genetically tuned fuzzy controller
Autorzy:: Drir, N
Barazane, L.
Loudini, M.
Tematy:: maximum power point tracking (PPT)
P&O
styling
fuzzy control
genetic algorithms; Pokaż więcej
Data publikacji:: 2013
Powiązania:: https://bibliotekanauki.pl/articles/229250.pdf Link otwiera się w nowym oknie
Źródło:: Archives of Control Sciences; 2013, 23, 2; 145-167
1230-2384
Pojawia się w:: Archives of Control Sciences
Opis:: This paper presents design and application of advanced control scheme which integrates fuzzy logic concepts and genetic algorithms to track the maximum power point in photovoltaic system. The parameters of adopted fuzzy logic controller are optimized using genetic algorithm with innovative tuning procedures. The synthesized genetic algorithm which optimizes fuzzy logic controller is implemented and tested to achieve a precise control of the maximum power point response of the photovoltaic generator. The performance of the adopted control strategy is examined through a series of simulation experiments which prove good tracking properties and fast response to changes of different meteorological conditions such as isolation or temperature.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Evaluation of maximum power point tracking methods for photovoltaic systems
Autorzy:: Talha, A.
Boumaaraf, H.
Bouhali, O.
Tematy:: maximum power point tracking (PPT)
PV
P&O
incremental conductance
fuzzy logic
converter; Pokaż więcej
Data publikacji:: 2011
Powiązania:: https://bibliotekanauki.pl/articles/229456.pdf Link otwiera się w nowym oknie
Źródło:: Archives of Control Sciences; 2011, 21, 2; 151-165
1230-2384
Pojawia się w:: Archives of Control Sciences
Opis:: The output characteristics of photovoltaic (PV) arrays are nonlinear and change with the solar irradiance and the cell's temperature. Therefore, a maximum power point tracking (MPPT) technique is needed to draw peak power from the solar array to maximize the produced energy. Among the hill climbing methods, the perturb and observe (P&O) method tracks the maximum power point (MPP) by repeatedly increasing or decreasing the output voltage at the MPP of the PV module. The implementation of the method is relatively simple, but it cannot track the MPP when the irradiance varies quickly with time. In addition, itmay cause system oscillation around the peak power points due to the effect of measurement noise. The incremental conductance (IncCond) method is also often used in PV systems. This method tracks the MPPs by comparing the incremental and instantaneous conductances of the solar array. This method requires longer conversion time, and a large amount of power loss results. In addition, extra hardware circuitry is required to implement the system. In this paper, it is shown that the negative effects associated with such a drawback can be greatly reduced if the intelligent method is used to improve P&O and IncCond algorithms. The perturbation step is continuously approximated by using fuzzy logic controller (FLC). By the digital simulation, the validity of the proposed control algorithm is proved.
Dostawca treści:: Biblioteka Nauki

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na półce

Skocz do pozycji: 10.

Tytuł:: Fuzzy logic controller based maximum power point tracking technique for different configurations of partially shaded photovoltaic system
Autorzy:: Naick, B. K.
Chatterjee, K.
Chatterjee, T. K.
Tematy:: partially shaded configuration
photovoltaic system
maximum power point tracking
fuzzy logic controller
tracking efficiency; Pokaż więcej
Data publikacji:: 2018
Powiązania:: https://bibliotekanauki.pl/articles/141010.pdf Link otwiera się w nowym oknie
Źródło:: Archives of Electrical Engineering; 2018, 67, 2; 307-320
1427-4221
2300-2506
Pojawia się w:: Archives of Electrical Engineering
Opis:: A solar photovoltaic (PV) system has been emerging out as one of the greatest potential renewable energy sources and is contributing significantly in the energy sector. The PV system depends upon the solar irradiation and any changes in the incoming solar irradiation will affect badly on the output of the PV system. The solar irradiation is location specific and also the atmospheric conditions in the surroundings of the PV system contribute significantly to its performance. This paper presents the cumulative assessment of the four MPPT techniques during the partial shading conditions (PSCs) for different configurations of the PV array. The partial shading configurations like series-parallel, bridge link, total cross tied and honeycomb structure for an 84 PV array has been simulated to compare the maximum power point tracking (MPPT) techniques. The MPPT techniques like perturb and observe, incremental conductance, extremum seeking control and a fuzzy logic controller were implemented for different shading patterns. The results related to the maximum power tracked, tracking efficiency of each of the MPPT techniques were presented in order to assess the best MPPT technique and the best configuration of the PV array for yielding the maximum power during the PSCs.
Dostawca treści:: Biblioteka Nauki

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