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Articles de revues sur le sujet « Optimum power point tracking »

Auteur : Grafiati

Publié le 2 juin 2025

Mis à jour le 31 juillet 2025

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1

Luo, Dong Dong, Shou An Chen, and Yuan Ping Lin. "Research on Power Industry with Application of Improved Hill-Climbing Algorithm in Wind Power Generation System." Advanced Materials Research 1014 (July 2014): 211–15. http://dx.doi.org/10.4028/www.scientific.net/amr.1014.211.

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This article puts forward improved hill-climbing algorithm based on the problems that exist in wind power system compared with traditional hill-climbing searching MPPT control algorithm.In order to obtain optimum power curve,the improved algorithm finds the maximum power point when wind speed is steady firstly,then estimating torque loss accurately of motor to calculate system power loss indirectly when system is in the state of maximum power point.At last,the disturbance step is adjusted in real time based on distance between actual work point and optimum power curve.The improved hill-climbin

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Chao, Kuei-Hsiang, Long-Yi Chang, and Hsueh-Chien Liu. "Maximum Power Point Tracking Method Based on Modified Particle Swarm Optimization for Photovoltaic Systems." International Journal of Photoenergy 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/583163.

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This study investigated the output characteristics of photovoltaic module arrays with partial module shading. Accordingly, we presented a maximum power point tracking (MPPT) method that can effectively track the global optimum of multipeak curves. This method was based on particle swarm optimization (PSO). The concept of linear decreases in weighting was added to improve the tracking performance of the maximum power point tracker. Simulation results were used to verify that this method could successfully track maximum power points in the output characteristic curves of photovoltaic modules wit

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Ayop, Razman, Muhammad Fariz Izzwan Zaki, Chee Wei Tan, Shahrin Md Ayob, and Mohd Junaidi Abdul Aziz. "Optimum sizing of components for photovoltaic maximum power point tracking buck converter." Solar Energy 243 (September 2022): 236–46. http://dx.doi.org/10.1016/j.solener.2022.07.032.

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Nisha, M., and M. Germin Nisha. "Optimum Tuning of Photovoltaic System Via Hybrid Maximum Power Point Tracking Technique." Intelligent Automation & Soft Computing 34, no. 2 (2022): 1399–413. http://dx.doi.org/10.32604/iasc.2022.024482.

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Irawan, Denny, and Soedibyo Soedibyo. "Desain Optimum Proportional-Integral-Derivative Pada Maximum Power Point Tracking Sistem Photovoltaic." E-Link : Jurnal Teknik Elektro dan Informatika 6, no. 2 (2018): 10. http://dx.doi.org/10.30587/e-link.v6i2.661.

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Energi terbarukan menjadi solusi dengan menipisnya sumber energi tak terbarukan. Energi matahari, disamping energi angin adalah sumber energi yang paling banyak dikembangkan, berbagai metode yang efisien dikembangkan untuk diterapkan seperti pada sistem photovoltaic. Pada penelitian ini akan mendesain Maximum Power Point Tracking (MPPT) pada sistem photovoltaic berbasis algoritma optimasi untuk tuning parameter Proportional Integral Derivative (PID) controller. Hasil simulasi menggunakan MATLAB SIMULINK dengan berbagai algoritma komputasi cerdas.

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Huang, Yue Hua, Huan Huan Li, and Guang Xu Li. "Maximum Wind Power Tracking Strategy of Wind Power Generation System." Applied Mechanics and Materials 313-314 (March 2013): 813–16. http://dx.doi.org/10.4028/www.scientific.net/amm.313-314.813.

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Aiming at maximum wind power tracking control problem of wind power generation system below the rated wind speed, this paper presents an improved MPPT control strategy by using turbulent part of the wind speed as a search signal to find the maximum power point. By using the Matlab/Simulink simulation of the wind power generation system below the rated wind speed, this paper proves the effectiveness of this control strategy. The simulation results show that improved MPPT control strategy can well control the wind turbine speed to track the wind speed changes to maintain optimum tip speed ratio

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EL-Saady Ahmed, Gaber, EL-Noby Ahmed Ibrahim, and Hazem Hassan Ali. "Optimum Power Point Tracking of Variable Speed Wind Turbine DFIG using Genetic Algorithm." International Journal of Engineering Trends and Technology 37, no. 7 (2016): 373–83. http://dx.doi.org/10.14445/22315381/ijett-v37p264.

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Pintilie, Lucian Nicolae, Horia Cornel Hedeșiu, Călin Gheorghe Rusu, et al. "Energy Conversion Optimization Method in Nano-Grids Using Variable Supply Voltage Adjustment Strategy Based on a Novel Inverse Maximum Power Point Tracking Technique (iMPPT)." Electricity 4, no. 4 (2023): 277–308. http://dx.doi.org/10.3390/electricity4040017.

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This paper introduces a novel power supply voltage adjustment strategy that can determine the optimum voltage value based on the amount of absorbed power. The novel automatic voltage adjustment technique was called inverse maximum power point tracking (iMPPT). The proposed control strategy consists of a modified maximum power point tracking (MPPT) algorithm (more precisely the P&O method). In this case, the modified MPPT technique establishes the minimum value of the input absorbed power of a consumer load served by a switched-mode power supply (SMPS). The iMPPT adjusts the input power by

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Alam, Afroz, Preeti Verma, Mohd Tariq, et al. "Jellyfish Search Optimization Algorithm for MPP Tracking of PV System." Sustainability 13, no. 21 (2021): 11736. http://dx.doi.org/10.3390/su132111736.

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Because of the rapid increase in the depletion rate of conventional energy sources, the energy crisis has become a central problem in the contemporary world. This issue opens the gateway for exploring and developing renewable energy sources to fulfill the exigent energy demand. Solar energy is an abundant source of sustainable energy and hence, nowadays, solar photovoltaic (PV) systems are employed to extract energy from solar irradiation. However, the PV systems need to work at the maximum power point (MPP) to exploit the highest accessible power during varying operating conditions. For this

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Shi, Ji Ying, Kai Zhang, and Yong Ge Zhang. "The New Technology of PV Power Generation System Based on Extremum Seeking Control." Advanced Materials Research 989-994 (July 2014): 1185–88. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.1185.

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A novel is based on a simplified two-diode model of photovoltaic (PV) module,which can more accurately predict the output characteristic of the solar cells I-U curve. On this basis, Aiming at promptness and stability tracking the maximum power point of the photovoltaic cells under the conditions of the constant temperature and light intensity, a novel control strategy based on sliding mode based extremum seeking control (SM-ESC) system for optimally tracking the maximum power point of the photovoltaic cells is proposed.To achieve higher control quality, an adaptive adjustment method is further

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Mauledoux, Mauticio, Santiago Fernández Posada, and Oscar Avilés Sánchez. "Design and Implementation of a Neural Network Applied to the Maximum Power Point Tracking of a Solar Panel." Applied Mechanics and Materials 823 (January 2016): 383–88. http://dx.doi.org/10.4028/www.scientific.net/amm.823.383.

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This paper shows the design and implementation of a neural network using back propagation method in order to perform the tracking of the maximum power point of a solar panel; this can be achieved by the use of the predictive ability of the network which uses light sensors to perform angular movement of the panel to find the optimum position. Tests were performed both in artificial and real environments; the network tracking sensitivity was tested in the artificial environment and it gave a result of less than 8 degrees of error, on the other hand in terms of voltage an improvement of more than

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He, Sijiang, and Hao Li. "Research on Maximum Power Tracking of Grey Wolf Optimization Algorithm Introducing Levy Flight." Journal of Physics: Conference Series 2303, no. 1 (2022): 012006. http://dx.doi.org/10.1088/1742-6596/2303/1/012006.

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Abstract In the case of partial shadow, the power-voltage characteristic curve of photovoltaic array output will show multi-peak phenomenon, the traditional maximum power point tracking method is easy to fall into the local maximum power point, resulting in the loss of output power. Aiming at the common problems of traditional swarm intelligence optimization algorithms, such as slow convergence speed, large oscillation amplitude, and easy to fall into local optimum, a control method of gray wolf optimization algorithm with Levy flight was proposed. The algorithm uses GWO’s excellent ability of

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Zine, Mahmoud, Chouaib Labiod, Malika Ikhlef, Kamel Srairi, and Mohamed Benbouzid. "Improving Efficiency and Power Output of Switched Reluctance Generators through Optimum Operating Parameters." Machines 11, no. 8 (2023): 816. http://dx.doi.org/10.3390/machines11080816.

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The optimization of energy production in renewable energy systems is crucial to improve energy efficiency. In this context, the aim of this study focuses on maximizing the efficiency of a switched reluctance generator. This paper presents a novel approach to enhance the electrical power and efficiency of a switched reluctance generator by determining the optimal operating parameters based on the mechanical input power of the system. The proposed strategy consists of the following steps: First, an algorithm was developed that provides machine data for different power modes based on control para

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Orellana, Cristian, Viviana Moya, Marcelo Moya, and Cristina Oscullo. "Artificial Intelligence-Controlled Photovoltaic Generator for Optimized Power Point Tracking." E3S Web of Conferences 532 (2024): 01002. http://dx.doi.org/10.1051/e3sconf/202453201002.

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This paper addresses the pressing need for sustainable energy solutions by focusing on developing a photovoltaic solar tracker enhanced with artificial intelligence (AI). The current and future global trends challenge energy systems to improve their output while also maintaining an eco-friendly approach, and there is an option to offset carbon emissions through photovoltaic energy. Nevertheless, the solar panel’s efficiency depends upon its ability to follow the sun’s movement to find the optimum energy angle. This project offers a unique solution, adopting a neural network technique that was

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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

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Alireza, Rezvani, Gandomkar Majid, izadbakhsh Maziar, and Vafaei Saeed. "Improvement of Grid-Connected Photovoltaic System Using Artificial Neural Network and Genetic Algorithm Under Different Condition." International Journal of Soft Computing, Mathematics and Control (IJSCMC) 3, no. 4 (2014): 15 to 32. https://doi.org/10.5281/zenodo.3889363.

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Photovoltaic (PV) systems have one of the highest potentials and operating ways for generating electrical power by converting solar irradiation directly into the electrical energy. In order to control maximum output power, using maximum power point tracking (MPPT) system is highly recommended. This paper simulates and controls the photovoltaic source by using artificial neural network (ANN) and genetic algorithm (GA) controller. Also, for tracking the maximum point the ANN and GA are used. Data are optimized by GA and then these optimum values are used in neural network training. The simulatio

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Takruri, Maen, Maissa Farhat, Oscar Barambones, et al. "Maximum Power Point Tracking of PV System Based on Machine Learning." Energies 13, no. 3 (2020): 692. http://dx.doi.org/10.3390/en13030692.

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This project studies the conditions at which the maximum power point of a photovoltaic (PV) panel is obtained. It shows that the maximum power point is very sensitive to external disturbances such as temperature and irradiation. It introduces a novel method for maximizing the output power of a PV panel when connected to a DC/DC boost converter under variable load conditions. The main contribution of this work is to predict the optimum reference voltage of the PV panel at all-weather conditions using machine learning strategies and to use it as a reference for a Proportional-Integral-Derivative

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Maimun, Maimun, and Subhan Subhan. "Different Techniques of Multiple Power Point Tracking for Photovoltaic Systems." Jurnal Litek : Jurnal Listrik Telekomunikasi Elektronika 19, no. 1 (2022): 24. http://dx.doi.org/10.30811/litek.v19i1.2887.

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Understanding in such way the maximum available power generated by the photovoltaic (PV) array varies with the weather is critical for improving system efficiency by encouraging the PV system to operate at that maximum power point (MPP). Therefore, to maintain optimum power functioning at all irradiance levels and temperatures, a Maximum Power Point Tracking (MPPT) system is necessary. MPPT methods have been developed and implemented in a number of studies. The accuracy, convergence speed, ease of hardware implementation, PV dependency, number of necessary sensors, which are significantly diff

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Maimun, Maimun, and Subhan Subhan. "Different Techniques of Multiple Power Point Tracking for Photovoltaic Systems." Jurnal Litek : Jurnal Listrik Telekomunikasi Elektronika 19, no. 1 (2022): 24. http://dx.doi.org/10.30811/litek.v19i1.2887.

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Understanding in such way the maximum available power generated by the photovoltaic (PV) array varies with the weather is critical for improving system efficiency by encouraging the PV system to operate at that maximum power point (MPP). Therefore, to maintain optimum power functioning at all irradiance levels and temperatures, a Maximum Power Point Tracking (MPPT) system is necessary. MPPT methods have been developed and implemented in a number of studies. The accuracy, convergence speed, ease of hardware implementation, PV dependency, number of necessary sensors, which are significantly diff

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Maimun, Maimun, and Subhan Subhan. "Different Techniques of Multiple Power Point Tracking for Photovoltaic Systems." Jurnal Litek : Jurnal Listrik Telekomunikasi Elektronika 19, no. 1 (2022): 24–27. http://dx.doi.org/10.30811/litek.v19i1.21.

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Understanding in such way the maximum available power generated by the photovoltaic (PV) array varies with the weather is critical for improving system efficiency by encouraging the PV system to operate at that maximum power point (MPP). Therefore, to maintain optimum power functioning at all irradiance levels and temperatures, a Maximum Power Point Tracking (MPPT) system is necessary. MPPT methods have been developed and implemented in a number of studies. The accuracy, convergence speed, ease of hardware implementation, PV dependency, number of necessary sensors, which are significantly diff

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Hichem, Louki, Merabet Leila, and Omeiri Amar. "The effectiveness of a hybrid MPPT controller based on an artificial neural network and fuzzy logic in low-light conditions." Bulletin of Electrical Engineering and Informatics 13, no. 3 (2024): 1453–64. http://dx.doi.org/10.11591/eei.v13i3.6416.

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Technological advancement and economic progress have made power consumption a big issue. Concern is growing as traditional energy sources dwindle. In the future, numerous fossil fuels will be insufficient to satisfy human requirements. This motivates research into the feasibility of using renewable energy sources. Renewable energy sources offer a multitude of advantages, including their cost-effectiveness, lack of environmental impact, and sustainable nature. Sunlight is currently the most prevalent source of energy because it is both free and readily accessible. Consequently, photovoltaic (PV

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Muldi, Yuhendri, Muskhir Mukhlidi, and Taali. "A novel optimum tip speed ratio control of low speed wind turbine generator based on type-2 fuzzy system." Bulletin of Electrical Engineering and Informatics 8, no. 4 (2019): 1189–97. https://doi.org/10.11591/eei.v8i4.1450.

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Variable speed control of wind turbine generator systems have been developed to get maximum output power at every wind speed variation, also called Maximum Power Points Tracking (MPPT). Generally, MPPT control system consists of MPPT algorithm to track the controller reference and generator speed controller. In this paper, MPPT control system is proposed for low speed wind turbine generator systems (WTGs) with MPPT algorithms based on optimum tip speed ratio (TSR) and generator speed controller based on field oriented control using type-2 fuzzy system (T2FS). The WTGs are designed using horizo

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Contreras Carmona, Itzel, Belem Saldivar, Otniel Portillo-Rodríguez, Víctor Manuel Ramírez Rivera, Leopoldo Gil Antonio, and Juan Manuel Jacinto-Villegas. "A novel strategy for the MPPT in a photovoltaic system via sliding modes control." PLOS ONE 19, no. 12 (2024): e0311831. https://doi.org/10.1371/journal.pone.0311831.

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This paper proposes a robust maximum power point tracking algorithm based on a super twisting sliding modes controller. The underlying idea is solving the classical trajectory tracking control problem where the maximum power point defines the reference path. This trajectory is determined through two approaches: a) using the simplest linear and multiple regression models that can be constructed from the solar irradiance and temperature, and b) considering optimum operating parameters derived from the photovoltaic system’s characteristics. The proposal is compared with the classical methods Pert

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Masry, Mohamed Zaghloul-El, Abdallah Mohammed, Fathy Amer, and Roaa Mubarak. "New Hybrid MPPT Technique Including Artificial Intelligence and Traditional Techniques for Extracting the Global Maximum Power from Partially Shaded PV Systems." Sustainability 15, no. 14 (2023): 10884. http://dx.doi.org/10.3390/su151410884.

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This research aimed to increase the power captured from photovoltaic (PV) systems by continuously adjusting the PV systems to work at the maximum power point under climate changes such as solar irradiance change and temperature change and by tracking the global maximum power under partial shading conditions (PSCs). Under the effect of partial shading (PS), the PV curve has many local maximum peaks (LMPs) and one global maximum peak (GMP) which is dynamic because it changes with time when the shading pattern (SP) changes. The traditional maximum power point tracking (MPPT) methods are unable to

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Junaid Khan, Mohammad, Md Naqui Akhtar, Mashhood Hasan, Hasmit Malik, Md Fahim Ansari, and Asyraf Afthanorhan. "ANN-based Maximum Power Point Tracking Technique for PV Power Management under Variable Conditions." International Journal of Mathematical, Engineering and Management Sciences 9, no. 5 (2024): 1106–23. http://dx.doi.org/10.33889/ijmems.2024.9.5.058.

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Due to the increasing energy demand, traditional fossil fuels are gradually decaying day by day as analyzed by many researchers. Fossil fuels are not sufficient to fulfil the requirement of energy demand and it also produces greenhouse gas emissions. In this regard, worldwide research is going on related to renewable energy sources (RESs) like solar photovoltaic (SPV), wind turbines, fuel cells etc. The source of SPV is plentiful and environment friendly which converts solar radiation to non-linear electrical power. This power is not suitable for a stable system. Therefore, the maximum power p

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Islam, F. R., K. Prakash, K. A. Mamun, A. Lallu, and R. Mudliar. "Design a Optimum MPPT Controller for Solar Energy System." Indonesian Journal of Electrical Engineering and Computer Science 2, no. 3 (2016): 545. http://dx.doi.org/10.11591/ijeecs.v2.i3.pp545-553.

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<p>Solar energy is compared to be the best potential source of renewable energy in Pacific region. For this reason a photovoltaic cell is needed to harvest this kind of energy, gathering the most of it and the PV having a good efficiency. The maximum efficiency is achieved when the PV works at its Maximum Power Point which entirely depends on the irradiation and temperature. This paper proposes a new design of hybrid Maximum Power Point Tracking and a comparative study is made with various existing MPPT techniques which include Perturb and Observe method, Incremental Conductance and Fuzz

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S.A., Khan, Mahmood T., and Awan K.S. "A nature based novel maximum power point tracking algorithm for partial shading conditions." Electrical Engineering & Electromechanics, no. 6 (December 3, 2021): 54–63. https://doi.org/10.20998/2074-272X.2021.6.08.

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<strong><em>Introduction. </em></strong><em>The huge demand of green energy over past few decades have drawn the interest of scientists and researchers. Solar energy is the most abundant and easily available source but there have been so many problems with its optimum extraction of output. The factors affecting the maximum power point tracking of PV systems are input irradiance, temperature, load etc. The variations in irradiance level lead to partial shading that causes reduction in performance by not letting system to operate at maximum power point. Many methods have been proposed in li

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Ibnelouad, Aouatif, Abdeljalil Elkari, Hassan Ayad, and Mostafa Mjahed. "A neuro-fuzzy approach for tracking maximum power point of photovoltaic solar system." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 2 (2021): 1252. http://dx.doi.org/10.11591/ijpeds.v12.i2.pp1252-1264.

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This work presents a hybrid soft-computing methodology approach for intelligent maximum power point tracking (MPPT) techniques of a photovoltaic (PV) system under any expected operating conditions using artificial neural network-fuzzy (neuro-fuzzy). The proposed technique predicts the calculation of the duty cycle ensuring optimal power transfer between the PV generator and the load. The neuro-fuzzy hybrid method combines artificial neural network (ANN) to direct the controller to the region where the MPP is located with its reference voltage estimator and its block of neural order. After that

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Aouatif, Ibnelouad, Elkari Abdeljalil, Ayad Hassan, and Mjahed Mostafa. "A neuro-fuzzy approach for tracking maximum power point of photovoltaic solar system." International Journal of Power Electronics and Drive System (IJPEDS) 12, no. 2 (2021): 1252–64. https://doi.org/10.11591/ijpeds.v12.i2.pp1252-1264.

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This work presents a hybrid soft-computing methodology approach for intelligent maximum power point tracking (MPPT) techniques of a photovoltaic (PV) system under any expected operating conditions using artificial neural network-fuzzy (neuro-fuzzy). The proposed technique predicts the calculation of the duty cycle ensuring optimal power transfer between the PV generator and the load. The neuro-fuzzy hybrid method combines artificial neural network (ANN) to direct the controller to the region where the MPP is located with its reference voltage estimator and its block of neural order. After that

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Nagaraju, Dr V. Siva. "PID CONTROLLER DESIGN FOR SOLAR TRACKING SYSTEM." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem41045.

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The aim of this research is to design solar tracking in order to orientate the solar panel to the maximum radiation at all times. In the present work, designing of an optimum proportional-integral-derivative (PID) controller is used to control a dual axis solar tracker system, namely: rotation and elevation. To obtain the optimum result, two kinds of testing were conducted, namely, testing of mechanical design and PID parameters. As a result, the mechanical testing indicated that this system can work properly based on the parameters input. Similar to the PID testing, the response of PID set po

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Charin, Chanuri, Dahaman Ishak, Muhammad Ammirrul Atiqi Mohd Zainuri, and Baharuddin Ismail. "Modified Levy Flight Optimization for a Maximum Power Point Tracking Algorithm under Partial Shading." Applied Sciences 11, no. 3 (2021): 992. http://dx.doi.org/10.3390/app11030992.

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This paper presents a novel modified Levy flight optimization for a photovoltaic PV solar energy system. Conventionally, the Perturb and Observe (P&O) algorithm has been widely deployed in most applications due to its simplicity and ease of implementation. However, P&O suffers from steady-state oscillation and stability, besides its failure in tracking the optimum power under partial shading conditions and fast irradiance changes. Therefore, a modified Levy flight optimization is proposed by incorporating a global search of beta parameters, which can significantly improve the tracking

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Izadbakhsh, Maziar, Alireza Rezvani, and Majid Gandomkar. "Improvement of Microgrid Dynamic Performance under Fault Circumstances using ANFIS for Fast Varying Solar Radiation and Fuzzy Logic Controller for Wind System." Archives of Electrical Engineering 63, no. 4 (2014): 551–78. http://dx.doi.org/10.2478/aee-2014-0038.

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Abstract The microgrid (MG) technology integrates distributed generations, energy storage elements and loads. In this paper, dynamic performance enhancement of an MG consisting of wind turbine was investigated using permanent magnet synchronous generation (PMSG), photovoltaic (PV), microturbine generation (MTG) systems and flywheel under different circumstances. In order to maximize the output of solar arrays, maximum power point tracking (MPPT) technique was used by an adaptive neuro-fuzzy inference system (ANFIS); also, control of turbine output power in high speed winds was achieved using p

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Charin, Chanuri, Dahaman Ishak, Muhammad Ammirrul Atiqi Mohd Zainuri, Baharuddin Ismail Turki Alsuwian, and Adam R. H. Alhawari. "Modified Levy-based Particle Swarm Optimization (MLPSO) with Boost Converter for Local and Global Point Tracking." Energies 15, no. 19 (2022): 7370. http://dx.doi.org/10.3390/en15197370.

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This paper presents a modified Levy particle swarm optimization (MLPSO) to improve the capability of maximum power point tracking (MPPT) under various partial shading conditions. This method is aimed primarily at resolving the tendency to trap at the local optimum particularly during shading conditions. By applying a Levy search to the particle swarm optimization (PSO), the randomness of the step size is not limited to a specific value, allowing for full exploration throughout the power-voltage (P-V) curve. Therefore, the problem such as immature convergence or being trapped at a local maximum

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Hameed, Waleed I., Ameer L. Saleh, Baha A. Sawadi, Yasir I. A. Al-Yasir, and Raed A. Abd-Alhameed. "Maximum Power Point Tracking for Photovoltaic System by Using Fuzzy Neural Network." Inventions 4, no. 3 (2019): 33. http://dx.doi.org/10.3390/inventions4030033.

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The electrical energy from the sun can be extracted using solar photovoltaic (PV) modules. This energy can be maximized if the connected load resistance matches that of the PV panel. In search of the optimum matching between the PV and the load resistance, the maximum power point tracking (MPPT) technique offers considerable potential. This paper aims to show how the modelling process of an efficient PV system with a DC load can be achieved using a fuzzy neural network (FNN) controller. This is applied via an innovative methodology, which senses the irradiance and temperature of the PV panel a

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Rathore, Gajendra Singh, B. Gopal Krishna, R. N. Patel, and Sanjay Tiwari. "Various Techniques of MPPT Based Charge Controller and Comparison of A/C with D/C Home Appliances - A Review." Journal of Ravishankar University (PART-B) 34, no. 1 (2021): 87–95. http://dx.doi.org/10.52228/jrub.2021-34-1-13.

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Controlling the PV array to generate the maximum power at certain environment conditions, the efficiency of the PV generation system could be improved. Using control algorithms, the PV array can operate at the maximum power point. This self-optimization process is referred as Maximum power point tracking (MPPT). A maximum power point tracker (MPPT) is a power electronic DC-DC converter inserted between the PV array and its load to achieve optimum matching. Researchers have studied and developed numerous methods and used many algorithms to track the Maximum power point of PV Module and extract

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Khalessi, N., M. Niroomand, J. Dadkhah, and S. Y. Nikouei. "A Firework-Based GMPPT with Variable Sampling Time for PV Systems." Mathematical Problems in Engineering 2020 (November 18, 2020): 1–11. http://dx.doi.org/10.1155/2020/6130202.

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Photovoltaic systems have a nonlinear characteristic in which there is one optimum operating point called Maximum Power Point (MPP). However, when PV panels are partially shaded by surrounding objects, there are several MPPs, of which one of them is Global MPP (GMPP). Therefore, conventional Maximum Power Point Tracking (MPPT) algorithms get trapped into local MPPs. As a result, a multitude of Global MPPT (GMPPT) algorithms have been proposed. An outstanding GMPPT algorithm as well as the fast-tracking speed should find GMPP in complicated shading patterns where not only there are lots of MPPs

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Kim, Jungmoon, Jihwan Kim, and Chulwoo Kim. "A Regulated Charge Pump With a Low-Power Integrated Optimum Power Point Tracking Algorithm for Indoor Solar Energy Harvesting." IEEE Transactions on Circuits and Systems II: Express Briefs 58, no. 12 (2011): 802–6. http://dx.doi.org/10.1109/tcsii.2011.2173971.

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Thi, Thom Hoang, and Huong Le Thi. "Application of mutant particle swarm optimization for MPPT in photovoltaic system." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 19, no. 2 (2020): 600–607. https://doi.org/10.11591/ijeecs.v19.i2.pp600-607.

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The P –V characteristic of a photovoltaic system (PVs) is non-linear and de-pends entirely on the extreme environmental condition, thus a large amount PV energy is lost in the environment. To enhance the operating efficiency of the PVs, a maximum power point tracking (MPPT) controller is normally equipped in the system. This paper proposes a new mutant particle swarm optimization (MPSO) algorithm for tracking the maximum power point (MPP) in the PVs. The MPSO-based MPPT algorithm not only surmounts the steady-state oscillation (SSO) around the MPP, but also tracks accurately the optimum

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AlRasheed, Khaled S., Siti Fauziah Toha, Hazleen Anuar, and Yose Fachmi Buys. "Maximum Power Point Tracking using Light Dependent Resistor and DC motor for Solar Photovoltaic System in Kuwait." International Journal of Recent Technology and Engineering 9, no. 5 (2021): 222–28. http://dx.doi.org/10.35940/ijrte.e5272.019521.

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In this paper a Maximum Power point (MPP) tracking system is developed using dual-axis DC motor feedback tracking control system. An efficient and accurate DC motor system is used to increase the system efficiency and reduces the solar cell system coast. The suggested automated DC motor control system based on the photovoltaic ( PV ) modules operated with the μ-microcontroller. This servo system will track the sun rays in order to get MPP during the day using direct radiation. A photometric cell is used to sensor the direct sun radiation and to feed a signal to the μ microcontroller and then s

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Khaled, S. AlRasheed, Fauziah Toha Siti, Anuar Hazleen, and Fachmi Buys Yose. "Maximum Power Point Tracking using Light Dependent Resistor and DC motor for Solar Photovoltaic System in Kuwait." International Journal of Recent Technology and Engineering (IJRTE) 9, no. 5 (2021): 222–28. https://doi.org/10.35940/ijrte.E5272.019521.

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<strong>Abstract: </strong>In this paper a Maximum Power point (MPP) tracking system is developed using dual-axis DC motor feedback tracking control system. An efficient and accurate DC motor system is used to increase the system efficiency and reduces the solar cell system coast. The suggested automated DC motor control system based on the photovoltaic ( PV ) modules operated with the μ-microcontroller. This servo system will track the sun rays in order to get MPP during the day using direct radiation. A photometric cell is used to sensor the direct sun radiation and to feed a signal to th

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Luo, Wenxiang, Yong Huang, Wenhao Zhou, Yin Nie, and Chunqin Lai. "MPPT Control Research of Improved Gray Wolf Algorithm According to Levy Flight and Greedy Strategy." Journal of Physics: Conference Series 2456, no. 1 (2023): 012032. http://dx.doi.org/10.1088/1742-6596/2456/1/012032.

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Abstract MPPT control study of improved Gray Wolf algorithm (GWO) according to Levy flight and greedy strategy: Solving the problems of maximum power point tracking (MPPT) with traditional Gray Wolf algorithm (GWO) under local shadows of photovoltaic arrays and sudden environmental changes, which is easily trapped in local optimum and has a slow convergence rate, and poor solution accuracy, a improved gray wolf algorithm (LGWO) according to Levy flight and greedy strategy is presented. It is used for the first time for maximum power point tracking under partial shadow and dynamic shadow change

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Yadav, Indresh, Sanjay Kumar Maurya, and Gaurav Kumar Gupta. "A Literature review on industrially accepted MPPT techniques for solar PV system." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (2020): 2117. http://dx.doi.org/10.11591/ijece.v10i2.pp2117-2127.

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Solar energy is a clean renewable energy and it is available around 89,000 TW on the earth surface. To get maximum power from a solar PV system with minimum power transfer loss is one of the main design objectives of an energy transferring network. Power electronic devices perform a very important character for an efficient PV power tracking system control and either incorporates to transfer the generated power to the ac/dc grid or battery storage system. In this case the duty of the power electronics devices used in PV system is to track maximum power point under different operating condition

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Indresh, Yadav, Kumar Maurya Sanjay, and Kumar Gupta Gaurav. "A literature review on industrially accepted MPPT techniques for solar PV system." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (2020): 2117–27. https://doi.org/10.11591/ijece.v10i2.pp2117-2127.

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Solar energy is a clean renewable energy and it is available around 89,000 TW on the earth surface. To get maximum power from a solar PV system with minimum power transfer loss is one of the main design objectives of an energy transferring network. Power electronic devices perform a very important character for an efficient PV power tracking system control and either incorporates to transfer the generated power to the ac/dc grid or battery storage system. In this case the duty of the power electronics devices used in PV system is to track maximum power point under different operating condition

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Zhang, Xiao Lian, Ming Hui Yin, Lian Jun Zhou, and Yun Zou. "Research on the Compensation Coefficients of the Improved MPPT Control Based on Reduction of Tracking Range." Advanced Materials Research 724-725 (August 2013): 598–604. http://dx.doi.org/10.4028/www.scientific.net/amr.724-725.598.

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The improved maximum power point tracking (MPPT) control based on the reduction of tracking range could reduce the tracking distance of wind turbine effectively, and improve the tracking efficiency. In this study, the relationship between the compensation coefficient of the improved MPPT control and several factors was investigated. Based on simulations of the simplified wind turbine model, wind conditions, air density and wind turbine parameters were used in the studies to investigate the relationship between the optimum compensation coefficients and these corresponding conditions. It can be

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Arunprasath Thanabalan, Chanuri Charin, Baharuddin Ismail, Fatin Nadia Azman Fauzi, and Azirah Baharum. "Performance Analysis of Deterministic Particle Swarm Optimization MPPT for a Standalone Photovoltaic System." Journal of Advanced Research in Applied Sciences and Engineering Technology 49, no. 1 (2024): 108–16. http://dx.doi.org/10.37934/araset.49.1.108116.

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This paper presents a study of Deterministic Particle Swarm Optimization (DPSO) in maximum power point tracking. DPSO is applied to a standalone PV system with a boost converter. This method is implemented primary to solve the problem in conventional techniques such as Perturb and Observe (P&O) and Incremental Conductance (IC) in failure to detect optimum point under certain condition, fixed step-size and high steady-state oscillation. Deterministic method is applied to conventional Particle Swarm Optimization (PSO) and takes advantage over guiding the behaviour of the particles through ex

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Chang, En-Chih, Chun-An Cheng, and Rong-Ching Wu. "Artificial Intelligence of Things-Based Optimal Finite-Time Terminal Attractor and Its Application to Maximum Power Point Tracking of Photovoltaic Arrays in Smart Cities." Wireless Communications and Mobile Computing 2022 (April 7, 2022): 1–9. http://dx.doi.org/10.1155/2022/4213217.

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The combination of artificial intelligence of things (AIoT) and photovoltaic power generation can save energy and reduce carbon emissions and further promote the development of smart cities. In order to obtain the maximum power output from photovoltaic (PV) arrays, we can use optimal maximum power point tracking (MPPT) technique with AIoT sensing to improve system efficiency. The optimal MPPT technique is the finite-time terminal attractor (FTTA) based on the gradient particle swarm optimization (GPSO), which can be applied to track the maximum power of a PV array system. The FTTA not only pro

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Alhamdawee, Ehsan Mohsin, Nashiren Farzilah Binti Mailah, Mohd Amran Mohd Radzi, Suhaidi Bin Shafie, Shahrooz Hajighorbani, and Ahmed Qasim Turki. "Comparison of developed FLC and P&O MPPT algorithms for improving PV system performance at variable irradiance conditions." World Journal of Engineering 13, no. 6 (2016): 494–99. http://dx.doi.org/10.1108/wje-09-2016-0082.

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Purpose This work aims to overcome the drawbacks of the nonlinear characteristics of the photo-voltaic (PV) system which are affected by the atmospheric variations. Design/methodology/approach As a result, the optimum power point on these characteristics accordingly changes and the efficiency of photovoltaic systems reduces. Maximum power point tracking (MPPT) algorithms track this optimum point and enhance the efficiency despite the irradiance and temperature changes. Findings The conventional perturbation and observation (P&O) algorithm uses fixed step sizes to increment and decrement th

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Figueiroa, Vasco, and João Paulo N. Torres. "Simulation of a Small Smart Greenhouse." Designs 6, no. 6 (2022): 106. http://dx.doi.org/10.3390/designs6060106.

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This paper investigates the design and implementation of a small greenhouse, based on an estimation of the required annual electrical loads, using robust energy modelling free software, namely OpenStudio. The greenhouse optimum materials, shape and orientation were estimated from this software, using weather file data and established environmental set points. Real-world electrical load estimations for the temperature, irrigation and lighting subsystems were consequently made, resulting in a good estimation of the required solar panel and battery combination. Sensors and actuators to physically

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Vijay Muni, T., K. S. Srikanth, N. Venkatesh, and K. L. Sumedha. "A high performance hybrid MPPT control scheme for a grid connected PV system based three level NPCMLI." International Journal of Engineering & Technology 7, no. 2.20 (2018): 37. http://dx.doi.org/10.14419/ijet.v7i2.20.11741.

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This paper discusses about usage of novel control strategy to extract maximum power in case of solar energy conversion system for renewable energy system applications with the power electronic technology based novel 3 level neutral point clamped inverter. Photovoltaic is one of the important renewable energy sources. Compared to other renewal energy sources photovoltaic energy is clean and abundantly available. Solar power is considered a very promising source for electric power generation. It is generally seen that the renewable energy system is highly stochastic in nature and does not guaran

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Mr., Sukhdeo R. Patankar, and Pratik Ghutke Prof. "Optimizing Power Ramp Capabilities of PV Systems using Fuzzy MPPT." International Journal of Trend in Scientific Research and Development 3, no. 4 (2019): 495–500. https://doi.org/10.31142/ijtsrd23759.

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Maximal Power Point Tracking MPPT algorithms are generally sufficient for tracking the optimum power point of a solar or photo voltaic PV system. But when ramps occur in the PV systems, then only MPPT controllers are not sufficient and we need an improved controller to perform the task of ramp minimization. In this paper we propose a fuzzy based MPPT controller to control the ramp capabilities of a PV system, which is found to be superior to the normal MPPT based controller. The results and observations show that the proposed controller has 10 higher efficiency in ramp control when compared to

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