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Готові списки джерел за темами / PHOTO VOLTAIC EMULATOR

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Добірка наукової літератури з теми "PHOTO VOLTAIC EMULATOR"

Автор: Grafiati

Опубліковано: 11 вересня 2023

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Статті в журналах з теми "PHOTO VOLTAIC EMULATOR"

1

Sudhakar Babu, T., S. Mohammed Azharuddin, B. Nishant, and N. Rajasekar. "A dynamic photo voltaic emulator using dSPACE controller with high accuracy solar photo voltaic characteristics." Journal of Renewable and Sustainable Energy 8, no. 1 (January 2016): 015503. http://dx.doi.org/10.1063/1.4940414.

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2

Iqbal, Mohammad Tauquir, and Mohd Tariq. "Modeling, Analysis and Control of Different DC-DC Converter Topologies for Photo Voltaic Emulator." International Journal of Applied Power Engineering (IJAPE) 6, no. 1 (April 1, 2017): 45. http://dx.doi.org/10.11591/ijape.v6.i1.pp45-54.

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This paper presents the modeling, analysis and control of different DC-DC converter topologies to emulate the photovoltaic (PV) system. A PV emulator is basically a DC-DC converter having same electrical characteristics that of solar PV panel. The emulator helps to achieve real characteristics of PV system in a better way in an environment where using actual PV systems can produce inconsistent results due to variation in weather conditions. The paper describes different types of DC-DC converters like buck, Resonant and Quasi Resonant Converter. The complete system is modelled in MATLAB® Simulink SimPowerSystem software package. The Simulation results obtained from the MATLAB® Simulink SimPowerSystem software package for different topologies under steady and dynamic conditions are analyzed and presented. An evaluation table is also presented at the end of the paper, presenting the effectiveness of each topology.

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3

Iqbal, Mohammad Tauquir, and Mohd Tariq. "Modeling, Analysis and Control of Different DC-DC Converter Topologies for Photo Voltaic Emulator." International Journal of Applied Power Engineering (IJAPE) 6, no. 1 (April 1, 2017): 46. http://dx.doi.org/10.11591/ijape.v6.i1.pp46-55.

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Анотація:

This paper presents the modeling, analysis and control of different DC-DC converter topologies to emulate the photovoltaic (PV) system. A PV emulator is basically a DC-DC converter having same electrical characteristics that of solar PV panel. The emulator helps to achieve real characteristics of PV system in a better way in an environment where using actual PV systems can produce inconsistent results due to variation in weather conditions. The paper describes different types of DC-DC converters like buck, Resonant and Quasi Resonant Converter. The complete system is modelled in MATLAB<sup>®</sup> Simulink SimPowerSystem software package. The Simulation results obtained from the MATLAB<sup>®</sup> Simulink SimPowerSystem software package for different topologies under steady and dynamic conditions are analyzed and presented. An evaluation table is also presented at the end of the paper, presenting the effectiveness of each topology.

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4

Ullah, Nasim, Faisal Nisar, and Ahmad Aziz Alahmadi. "Closed Loop Control of Photo Voltaic Emulator Using Fractional Calculus." IEEE Access 8 (2020): 28880–87. http://dx.doi.org/10.1109/access.2020.2971676.

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5

S. Abdullah, Fawaz, Safwan A. Hamoodi, and Ali N. Hamoodi. "Modeling of electrical characteristics of photo voltaic and effecting of cell parameters on V-I curve." International Journal of Engineering & Technology 7, no. 2.13 (April 15, 2018): 276. http://dx.doi.org/10.14419/ijet.v7i2.13.12680.

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Анотація:

Studding of PV systems in an active way needs accurate information of the power and voltage P-V current and voltage I-V characteristic curves of solar PV order. Therefore, this paper shows emulation of solar PV model utilizes Matlab/Simulink and practical results. This PV model depends on math’s equation and is explained during an equivalent circuit involving a photo current source, diode, shunt resistor and series resistor representing leakage current and series resistor expressing the inside losses because of the current flow. The advanced model let the prognosis of PV array manner under various circuit model and ecological parameters solar temperature, ray. A special model (Lcs M200 – JA/SI) solar collector using for this paper, results was compared with practical curve with different points of the curve and show good conformity to the model.

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6

Shirbhate, Isha M., and Sunita S. Barve. "Solar panel monitoring and energy prediction for smart solar system." International Journal of Advances in Applied Sciences 8, no. 2 (June 1, 2019): 136. http://dx.doi.org/10.11591/ijaas.v8.i2.pp136-142.

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<p>Solar Energy is established as an alternative source of energy known as renewable energy. In a developing country like India, the perspective of Solar Energy is important, as it supports a limitless source of energy. Monitoring and prediction of photo-voltaic energy generation help to reduce the energy loss and empower to utilize more energy. Solar energy prediction is challenging as it depends on the fluctuating solar radiations and climate conditions. The problem statement is to monitor solar panels and predict energy generation for energy management procedure. In this paper, the Internet of Things and Machine Learning algorithms are used as a powerful tool for developing a smart solar system. The metro-logical data such as humidity, temperature and photovoltaic panel data is used as input to forecast solar power generation. For prediction, we examine time-series of solar energy data with Hidden Markov Model. This model considers the probabilistic correlation between previous values to next value in time-series. Experimental results shows that individual panel dead state is located successfully and time-series based solar energy prediction emulate the actual power generation.</p>

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7

Mejía-Giraldo, Diego, Gregorio Velásquez-Gomez, Nicolás Muñoz-Galeano, Juan Cano-Quintero, and Santiago Lemos-Cano. "A BESS Sizing Strategy for Primary Frequency Regulation Support of Solar Photovoltaic Plants." Energies 12, no. 2 (January 20, 2019): 317. http://dx.doi.org/10.3390/en12020317.

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This paper proposes a strategy for sizing a battery energy storage system (BESS) that supports primary frequency regulation (PFR) service of solar photo-voltaic plants. The strategy is composed of an optimization model and a performance assessment algorithm. The optimization model includes not only investment costs, but also a novel penalty function depending on the state of charge (SoC). This function avoids the existence of a potential inappropriate SoCtrajectory during BESS operation that could impede the supply of PFR service. The performance assessment algorithm, fed by the optimization model sizing results, allows the emulation of BESS operation and determines either the success or failure of a particular BESS design. The quality of a BESS design is measured through number of days in which BESS failed to satisfactorily provide PFR and its associated penalization cost. Battery lifetime, battery replacements, and SoC are also key performance indexes that finally permit making better decisions in the election of the best BESS size. The inclusion of multiple BESS operational restrictions under PFR is another important advantage of this strategy since it adds a realistic characterization of BESS to the analysis. The optimization model was coded using GAMS/CPLEX, and the performance assessment algorithm was implemented in MATLAB. Results were obtained using actual frequency data obtained from the Colombian power system; and the resulting BESS sizes show that the number of BESS penalties, caused by failure to provide PFR service, can be reduced to zero at minimum investment cost.

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8

Tauquir Iqbal, Mohammad, and Mohd Tariq. "Modeling, Analysis and Control of Different DC-DC Converter Topologies for Photo Voltaic Emulator." Transactions on Environment and Electrical Engineering 1, no. 2 (April 1, 2016). http://dx.doi.org/10.22149/teee.v1i2.12.

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9

Islam, Molla Manjurul, Durjoy Dev, Adithi Krishnaprasad, Laurene Tetard, and Tania Roy. "Optoelectronic synapse using monolayer MoS2 field effect transistors." Scientific Reports 10, no. 1 (December 2020). http://dx.doi.org/10.1038/s41598-020-78767-4.

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AbstractOptical data sensing, processing and visual memory are fundamental requirements for artificial intelligence and robotics with autonomous navigation. Traditionally, imaging has been kept separate from the pattern recognition circuitry. Optoelectronic synapses hold the special potential of integrating these two fields into a single layer, where a single device can record optical data, convert it into a conductance state and store it for learning and pattern recognition, similar to the optic nerve in human eye. In this work, the trapping and de-trapping of photogenerated carriers in the MoS2/SiO2 interface of a n-channel MoS2 transistor was employed to emulate the optoelectronic synapse characteristics. The monolayer MoS2 field effect transistor (FET) exhibits photo-induced short-term and long-term potentiation, electrically driven long-term depression, paired pulse facilitation (PPF), spike time dependent plasticity, which are necessary synaptic characteristics. Moreover, the device’s ability to retain its conductance state can be modulated by the gate voltage, making the device behave as a photodetector for positive gate voltages and an optoelectronic synapse at negative gate voltages.

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10

Vyšniauskas, Juozas, and Eugenijus Gaubas. "Simulation of dynamic characteristics of GaN p-i-n avalanche diode operating as particle detector with internal gain." Lithuanian Journal of Physics 58, no. 2 (July 20, 2018). http://dx.doi.org/10.3952/physics.v58i2.3747.

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An evolution of the transient characteristics of the GaN p-i-n diodes, operating in the avalanche mode and acting as particle sensors, has been simulated by using the Synopsys TCAD Sentaurus software package and the drift-diffusion approach. Profiling of the charge generation, recombination and drift-diffusion processes has been performed over a nanosecond time-scale with a precision of a few picoseconds and emulated through the photo-excitation of an excess carrier domain at different locations of the active volume of a diode. Shockley–Read–Hall (SRH), Auger and radiative recombination processes have been taken into account. Fast and slow components within a current transient have been analysed based on the consideration of the carrier spatial distribution at different instants of the avalanche process. The internal gain due to charge multiplication ensures the sufficient charge collection on electrodes of the relatively thin (5 µm) diode operating in the avalanche mode. It has been shown that the simulated evolution of the detector transient responses by employing the drift-diffusion approach reproduces properly the qualitative modifications of the main features of a detector with an internal gain, realized by induction of the avalanche processes governed by the applied external voltage.

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Дисертації з теми "PHOTO VOLTAIC EMULATOR"

1

VERMA, HARI CHARAN. "DESIGN AND IMPLEMENTATION OF PHOTO VOLTAIC EMULATOR." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14888.

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In the proposed work emulator of photovoltaic system have been developed. The main purpose of developing solar emulator is generate the profile of solar PV system from laboratory based experimental studies. The mathematical model of solar photovoltaic system is developed and simulated using the MATLAB. Here, the main aim is to generate VI Characteristics of PV system at different irradiation and temperature level. The actual data from NREL have been taken as reference to generate PV Characteristics from Real time irradiance level using lookup table. In this work, only One Diode equivalent model has been considered. The series or shunt connection of this system diode model is further used to immolate a solar array. The Newton Raphson Method has been used to calculate the output current of solar cell while taking temperature and irradiation level as input variable and voltage as output. Further a PIC 18F4520 microcontroller with flash memory of 32 kB is used to handle large data where the code written in C language is burned inside microcontroller to emulate to proposed PV system.

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Тези доповідей конференцій з теми "PHOTO VOLTAIC EMULATOR"

1

Iqbal, Mohammad Tauquir, Mohd Tariq, and Md Shafquat Ullah Khan. "Fuzzy logic control of buck converter for photo voltaic emulator." In 2016 4th International Conference on the Development in the in Renewable Energy Technology (ICDRET). IEEE, 2016. http://dx.doi.org/10.1109/icdret.2016.7421477.

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2

Kumar, Rajiv, Satvinder Singh, Mukesh Kumar, Surinder Kumar, and Pritosh Tomar. "Design and Analysis on Fuzzy Logic Control of Buck Converter for Photo Voltaic Emulator." In 2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP). IEEE, 2022. http://dx.doi.org/10.1109/icfirtp56122.2022.10059438.

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3

Ulaganathan, M., and D. Devaraj. "RGA based Optimal Parameter Estimation of Diode Model for Solar Photo-Voltaic Array Emulator Development." In 2019 IEEE International Conference on Clean Energy and Energy Efficient Electronics Circuit for Sustainable Development (INCCES). IEEE, 2019. http://dx.doi.org/10.1109/incces47820.2019.9167702.

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4

Iqbal, Mohammad Tauquir, Mohd Tariq, Mohammad Khalid Ahmad, and M. Saad Bin Arif. "Modeling, analysis and control of buck converter and Z-source converter for photo voltaic emulator." In 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES). IEEE, 2016. http://dx.doi.org/10.1109/icpeices.2016.7853605.

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5

Adhau, S. P., R. M. Moharil, V. S. Rajguru, and Mrunmayee Gujar Pradhan. "Study and Analysis of Solar Photo Voltaic Modules with Real Time Experimentation on Solar Simulator/Solar Emulator." In 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET). IEEE, 2022. http://dx.doi.org/10.1109/icecet55527.2022.9872753.

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