scholarly journals Development of a Stand-Alone Photovoltaic System Considering Shaded Effect for Energy Storage and Release

Electronics ◽  
2019 ◽  
Vol 8 (5) ◽  
pp. 567 ◽  
Author(s):  
Kuei-Hsiang Chao ◽  
Yu-Ju Lai ◽  
Wen-Ching Chang
Keyword(s):  
Direct Current ◽  
Control Method ◽  
Flow Direction ◽  
Alternating Current ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Photovoltaic Module ◽  
Maximum Power Point ◽  
Energy Accumulation ◽  
Power Point

The purpose of this study was to develop a photovoltaic system that stores energy for use in direct current micro-grid systems or to supply electric power to consumers living in remote areas. If the photovoltaic module array is shaded, the signals of conventional maximum power point trackers (MPPT) may be trapped at the local power maxima. Therefore, this study developed a smart maximum power point tracker to track the maximum power point (MPP). The control method adopted a teaching learning based optimization (TLBO) algorithm. To adjust the energy flow direction of the direct current load terminal, this study proposed an energy accumulation and release strategy that used a high-boost/buck-ratio bidirectional converter to control the battery charge and discharge for energy accumulation and release. In addition, this study developed an inverter to convert direct current into alternating current for alternating current loads.

Study on Maximum Power Point Tracking for Grid-Connected Photovoltaic System

2010 ◽  
Vol 121-122 ◽  
pp. 93-96 ◽  
Author(s):  
Hou Sheng Zhang
Keyword(s):  
Control Method ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Variable Step Size ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Solar Radiation Intensity ◽  
Power Point

As the energy crisis and the pollution are serious, the exploitation of solar has received more and more attentions. It is well known that for a given solar radiation intensity and solar cell temperature there exists a maximum power point at which the power generated from the PV panel is at its maximum. In order to improve the efficiency of the system, the main method is to regulate the output of array to develop the maximum power point tracking (MPPT). In this paper the principle and control method of DC/DC conversion in grid-connected photovoltaic system are experimentally discussed. The conductance incremental method is analyzed in detail, and an improved variable step-size control method is implemented for MPPT with pulse width modulation. The experimental results prove the feasibility and correctness of the control method.

scholarly journals An Intelligent Automatic Adaptive Maximum Power Point Tracker for Photovoltaic Module Arrays

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4775
Author(s):  
Kuei-Hsiang Chao ◽  
Yu-Ju Lai
Keyword(s):  
Digital Signal Processor ◽  
Local Maximum ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Global Maximum ◽  
Photovoltaic Module ◽  
Maximum Power Point ◽  
Maximum Power Point Tracker ◽  
Tlbo Algorithm ◽  
Power Point

In this study, a maximum power point tracker was developed for photovoltaic module arrays by using a teacher-learning-based optimization (TLBO) algorithm to control the photovoltaic system. When a photovoltaic module array is shaded, a conventional maximum power point tracker may obtain the local maximum power point rather than the global maximum power point. The tracker developed in this study was aimed at solving this problem. To prove the viability of the proposed method, a SANYO HIP 2717 photovoltaic module with diverse connection patterns and shading ratios was used. Thus, single-peak, double-peak, triple-peak, and multi-peak power–voltage characteristic curves of the photovoltaic module array were obtained. A simulation of maximum power point tracking (MPPT) was then performed with MATLAB software. With regard to practical testing, a boost converter was used as the hardware structure of the maximum power point tracker and a TMS320F2808 digital signal processor was selected to execute the rules for MPPT. The results of the practical tests verified that the proposed improved TLBO algorithm had a superior accuracy to existing TLBO algorithms. In addition, the proposed improved TLBO algorithm can shorten the tracking time to 1/2 or 1/4, so it can improve the efficiency of power generation by two to three percentage.

The Research of Maximum Power Point Tracking Based on Fuzzy Control in Grid-Connected Photovoltaic System

2012 ◽  
Vol 512-515 ◽  
pp. 202-207
Author(s):  
Qiang Xu ◽  
Xiao Chun Zhang ◽  
Kai Chun Ren ◽  
Xing Qi Zhang ◽  
Xiao Jun Liu
Keyword(s):  
Solar Cells ◽  
Fuzzy Control ◽  
Control Method ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

This paper analyzes the characteristics of solar cells, and establishes the simulation model from its mathematical expressions which can factually reflects the change of solar cells’ parameters. The commonly used method of maximum power point tracking technologies is introduced. A PV system’s most maximum power is simulated by using the fuzzy control method. Simulation results show that the system can work at a stable maximum power point rapidly.

Study on MPPT Control of the Single-Stage Grid-Connected Photovoltaic System

2011 ◽  
Vol 383-390 ◽  
pp. 3552-3560
Author(s):  
Yan Wang ◽  
Feng Lan Tian
Keyword(s):  
Fuzzy Control ◽  
Power Factor ◽  
High Power ◽  
Pid Control ◽  
Control Method ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
High Power Factor ◽  
Power Point

The fuzzy control can react to the environment change quickly and keep the photovoltaic system work on its maximum power point all the time. However, the limitation in the fuzzy control itself and the characteristic of self-optimization lead to serious concussion of the system around the maximum power point. Whereas the PID control method is effective in the elimination of concussion and is easy to be realized. To tackle the problem, the fuzzy parameter self-tuning PID control method is adopted in the paper to achieve the MPPT control of PV system. The method can effectively eliminate the concussion around the maximum power point and improve the stability of the system; and achieve grid-connected operation with a high power factor in combination with the harmonic elimination PWM control of inverter. Simulation results show that the scheme has merits of simple structure, high power factor and reliable operation, etc. and is worthwhile to be popularized.

scholarly journals Design Method of Dual Active Bridge Converters for Photovoltaic Systems with High Voltage Gain

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1711
Author(s):  
Elkin Edilberto Henao-Bravo ◽  
Carlos Andrés Ramos-Paja ◽  
Andrés Julián Saavedra-Montes ◽  
Daniel González-Montoya ◽  
Julián Sierra-Pérez
Keyword(s):  
High Voltage ◽  
Design Method ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Photovoltaic Module ◽  
Maximum Power Point ◽  
Dual Active Bridge ◽  
Point Tracking ◽  
Theoretical Predictions ◽  
Power Point

In this paper, a design method for a photovoltaic system based on a dual active bridge converter and a photovoltaic module is proposed. The method is supported by analytical results and theoretical predictions, which are confirmed with circuital simulations. The analytical development, the theoretical predictions, and the validation through circuital simulations, are the main contributions of the paper. The dual active bridge converter is selected due to its high efficiency, high input and output voltages range, and high voltage-conversion ratio, which enables the interface of low-voltage photovoltaic modules with a high-voltage dc bus, such as the input of a micro-inverter. To propose the design method, the circuital analysis of the dual active bridge converter is performed to describe the general waveforms derived from the circuit behavior. Then, the analysis of the dual active bridge converter, interacting with a photovoltaic module driven by a maximum power point tracking algorithm, is used to establish the mathematical expressions for the leakage inductor current, the photovoltaic current, and the range of operation for the phase shift. The design method also provides analytical equations for both the high-frequency transformer equivalent leakage inductor and the photovoltaic side capacitor. The design method is validated through detailed circuital simulations of the whole photovoltaic system, which confirm that the maximum power of the photovoltaic module can be extracted with a correct design of the dual active bridge converter. Also, the theoretical restrictions of the photovoltaic system, such as the photovoltaic voltage and power ripples, are fulfilled with errors lower than 2% with respect to the circuital simulations. Finally, the simulation results also demonstrate that the maximum power point for different environmental conditions is reached, optimizing the phase shift factor with a maximum power point tracking algorithm.

scholarly journals Modeling of photovoltaic system with maximum power point tracking control by neural networks

2019 ◽  
Vol 10 (3) ◽  
pp. 1575
Author(s):  
Farid Saadaoui ◽  
Khaled Mammar ◽  
Abdaldjabar Hazzab
Keyword(s):  
Climatic Conditions ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Photovoltaic Module ◽  
Neuron Network ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point ◽  
And Control

<p>This paper presented the study, development and implementation of the maximum power point of a photovoltaic energy generator adapted by elevator converter and controlled by a maximum power point command. In order to improve photovoltaic system performance and to force the photovoltaic generator to operate at its maximum power point, the idea of the context of this paper deals with the exploitation of the technique of the artificial intelligence mechanism (neural network) certainly based on the three parts of the photovoltaic system (photovoltaic  module inputs (temperature and  solar radiation), photovoltaic module and control (MPPT)) that have been adopted within a simulation time of 24 hours.</p><p>In addition, to reach the optimal operating point regardless of variations in climatic conditions, the use of a neuron network based disturbance and observation algorithm (P&amp;O) is put into service of the system given its reliability, its simplicity and view that at any time it can follow the desired maximum power.</p><p>The entire system is implemented in the Matlab / Simulink environment where simulation results  obtained are very promising and have shown the effectiveness and speed of neural technology that still require a learning base so to improve the performance of photovoltaic systems and exploit them in energy production, as well as this technique has proved that these results are much better in terms (of its very great precision and speed of computation) than those of the controller based on the conventional MPPT method P&amp;O.</p>

scholarly journals Simulation of Standalone Three-Phase Photovoltaic System with SPWM and SVPWM Techniques

2020 ◽  
Vol 9 (4) ◽  
pp. 2208-2215
Keyword(s):  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Voltage Source ◽  
Photovoltaic Module ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Three Phase ◽  
Power Point

Maximum power point tracking is a method employed to produce the utmost power available from the photovoltaic module. To date, many algorithms for maximum power point tracking technique had been stated, every with its own capabilities. In this paper, a Luo converter with high-voltage conversion gain is employed to track photovoltaic panels at maximum power and to step up the voltage to a higher level. This work also aims to validate the performance of the maximum power point tracking system with Luo converter which utilizes incremental conductance techniques. Space vector modulation and sinusoidal pulse width modulations are the control techniques employed to control the three-phase voltage source converter. In order to measure the overall performance indices of the proposed system, a simulation is carried out in MATLAB / Simulink environment.

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