Simulation of Electrical Characteristics of a Solar Panel

Обухов, С. Г.; Plotnikov, I. A.; Kryuchkova, M

doi:10.1088/1757-899x/132/1/012017

Cited by 12 publications

(7 citation statements)

References 1 publication

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“…It can be observed that the operating range of the input voltages and the rated power of the DC-DC converter can be easily evaluated analytically, using the given data of the technical specification of the PV module, and assuming that when the climatic conditions change, the MPP voltage (V MPP ) will change proportionally to the open-circuit voltage, and the MPP current (I MPP ) also will change proportionally to the photocurrent. Mathematically, the following equations can be used to determine V MPP and I MPP at arbitrary values of G and T FM [30]:…”

Section: Selection Of the Components Of The Autonomous Photovoltaic Plantmentioning

confidence: 99%

Optimal Performance of Dynamic Particle Swarm Optimization Based Maximum Power Trackers for Stand-Alone PV System Under Partial Shading Conditions

et al. 2020

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One of the important tasks for increasing the efficiency of photovoltaic (PV) system is the development and improvement of the maximum power point tracking algorithms (MPPT). These MPPT algorithms lead to the ability to catch efficiently the global maximum power point of the partially shaded PV array. One of these trackers is the particle swarm optimization (PSO) algorithm which is one of the Soft computing techniques. The conventional PSO based trackers have many advantages such as the simplicity of hardware implementation and independence from the installed system. The actual problem of the practical application of PSO is the determination of its parameters to ensure high effectiveness of extracting the global MPP. Analysis of scientific papers devoted to the PSO algorithm has shown that there is currently no methodology for the optimal parameters' selection of PSO algorithm based maximum power trackers for the PV system. This paper aims to create a convenient and reasonable method for choosing the optimal parameters of the PSO algorithm, taking into account the topology and parameters of the DC-DC converter and the configuration of solar panels. A new method for selecting the parameters of a buck converter connected to a battery has been presented. The optimal value of the sampling time for the digital MPP controllers, providing their maximum performance; has been determined based on a new methodology. Matlab/Simulink software package is used as the main research tool. The prominent outcomes identify that the modified PSO and its designed parameters best meet the requirements of the MPPT controller for the PV system.

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Section: Selection Of the Components Of The Autonomous Photovoltaic Plantmentioning

confidence: 99%

Optimal Performance of Dynamic Particle Swarm Optimization Based Maximum Power Trackers for Stand-Alone PV System Under Partial Shading Conditions

et al. 2020

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“…The majority of the solar panel models are based on mathematical equations that describe the processes in the equivalent circuit of a solar cell [8,9]. In this case, the number of unknown variables in the resulting system of equations is greater than the number of equations.…”

Section: Solar Panel Modelmentioning

confidence: 99%

Method for Prediction of the Power Output from Photovoltaic Power Plant under Actual Operating Conditions

Обухов

Plotnikov

Surzhikova

et al. 2017

IOP Conf. Ser.: Mater. Sci. Eng.

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Solar photovoltaic technology is one of the most rapidly growing renewable sources of electricity that has practical application in various fields of human activity due to its high availability, huge potential and environmental compatibility. The original simulation model of the photovoltaic power plant has been developed to simulate and investigate the plant operating modes under actual operating conditions. The proposed model considers the impact of the external climatic factors on the solar panel energy characteristics that improves accuracy in the power output prediction. The data obtained through the photovoltaic power plant operation simulation enable a well-reasoned choice of the required capacity for storage devices and determination of the rational algorithms to control the energy complex.

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“…The REMS-1 recorder transforms electromagnetic signals via the capacity or induction receiver, then it transforms acoustic signals into analog signals with piezoelectric receiver, preprocesses and digitizes the signals, stores the obtained data in the internal memory and transmits the data arrays to PC [11][12][13][14][15][16][17]. To decrease the effect of electromagnetic interference, the analogue EMS reception was performed using a differential circuit [18,19].…”

Section: Recorder Descriptionmentioning

confidence: 99%

Application of an Integrated and Self-contained Electromagnetic Acoustic Recorder for Monitoring the Rock Mass Structure and Development of Geodynamic Processes in Ore Mines

et al. 2016

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Abstract. The paper presents a block diagram of the recorder of electromagnetic and acoustic signals. The recorder provides monitoring of electromagnetic and acoustic signals under changing stress-strain state of heterogeneous materials and rocks. The analog amplifier input sensitivity of electromagnetic signals in 4 channels is 10 μV, that of the electromagnetic signal intensity is 10 μV and that of acoustic signals is 50 μV. The operating frequency range of recording is (1÷100) kHz. The averaging of electromagnetic and acoustic signal amplitudes is performed within 1 or 5 seconds. The data on electromagnetic and acoustic emission materials is recorded in digital format in the internal memory of the recorder. The recorder operates off-line within 7 days. Repeated testing of the recorder in natural conditions of the Tashtagol mine showed that the changes in the amplitude and frequency parameters of electromagnetic signals (EMC) indicate the structural damage in mines made of rocks which differ in their electrical properties. Measurements of the intensity of electromagnetic signals enable monitoring the changes in the stress-strain state of rocks during and after blasting and other geodynamic phenomena.

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Simulation of Electrical Characteristics of a Solar Panel

Cited by 12 publications

References 1 publication

Optimal Performance of Dynamic Particle Swarm Optimization Based Maximum Power Trackers for Stand-Alone PV System Under Partial Shading Conditions

Optimal Performance of Dynamic Particle Swarm Optimization Based Maximum Power Trackers for Stand-Alone PV System Under Partial Shading Conditions

Method for Prediction of the Power Output from Photovoltaic Power Plant under Actual Operating Conditions

Application of an Integrated and Self-contained Electromagnetic Acoustic Recorder for Monitoring the Rock Mass Structure and Development of Geodynamic Processes in Ore Mines

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