A Single Stage Photovoltaic Inverter With Common Power Factor Control and Maximum Power Point Tracking Circuit

2013 ◽  
Vol 136 (2) ◽  
Author(s):  
R. Sridhar ◽  
K. C. Jayasankar ◽  
S. S. Dash ◽  
Varun Avasthy
Keyword(s):  
Direct Current ◽  
Energy System ◽  
Alternating Current ◽  
Single Step ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Power Conditioning ◽  
Photovoltaic Energy ◽  
Photovoltaic Array ◽  
Low Efficiency

This paper presents a unique approach towards the reduction of steps employed in conversion of power produced by a photovoltaic energy system. When a Photovoltaic system feeds an ac load, the power conditioning system of a Photovoltaic energy conversion system consists of a boost converter at the first stage to boost up the direct current (dc) supply, and an inverter to convert this boosted supply to alternating current (ac) at the second stage. But in this conventional system, losses happen at both the stage which makes the whole system to have low efficiency. The proposed approach in this paper has only one stage conversion. In this single step conversion the direct current supply is boosted and converted to alternating current with the help of a single inverter circuit. This process of power conditioning is carried out with respect to the load connected as well to the maximum power with respect to the variant irradiation and temperature condition. The load connected to the system is tested under varying environmental conditions of the photovoltaic system. Nature of output power from the system is studied by varying the irradiation and temperature of the photovoltaic array.

scholarly journals MPPT Algorithm for Photovoltaic Panel Based on Augmented Takagi-Sugeno Fuzzy Model

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Hafedh Abid ◽  
Ahmed Toumi ◽  
Mohamed Chaabane
Keyword(s):  
Fuzzy Model ◽  
Energy System ◽  
Maximum Power ◽  
Operating Point ◽  
Linear Matrix ◽  
Photovoltaic Panel ◽  
Photovoltaic Energy ◽  
Photovoltaic Array ◽  
Point Tracking ◽  
Takagi Sugeno

This paper deals with the Maximum Power Point Tracking (MPPT) for photovoltaic energy system. It includes photovoltaic array panel, DC/DC converter, and load. The operating point for photovoltaic energy system depends on climatic parameters and load. For each temperature and irradiation pair, there exists only one optimal operating point which corresponds to the maximum power transmitted to the load. The photovoltaic energy system is described by nonlinear equations. It is transformed into an augmented system which is described with a Takagi-Sugeno (T-S) fuzzy model. The proposed MPPT algorithm which permits transfering the maximum power from the panel to the load is based on Parallel Distributed Compensation method (PDC). The control parameters have been computed based on Linear Matrix Inequalities tools (LMI). The Lyapunov approach has been used to prove the stability of the system. Some reliable simulation results are provided to check the efficiency of the proposed algorithm.

Modeling of Hydrogen Production in a Stand-Alone Photovoltaic System

2012 ◽  
Vol 512-515 ◽  
pp. 1413-1417
Author(s):  
Chun Hua Li ◽  
Xin Jian Zhu ◽  
Qing Jun Zeng ◽  
Yun Long Wang
Keyword(s):  
Hydrogen Production ◽  
Production Process ◽  
Proton Exchange Membrane ◽  
Energy System ◽  
Hydrogen Gas ◽  
Proton Exchange ◽  
Photovoltaic System ◽  
Operating Voltage ◽  
Photovoltaic Energy ◽  
Photovoltaic Array

A stand-alone renewable photovoltaic energy system can be used to meet the energy requirements of off-grid remote area applications. The excess photovoltaic energy with respect to load demand is transformed and stored as hydrogen gas via an electrolyzer. The stored hydrogen represents a long-term transportable form of fuel for fuel cell. To analyze the system performance and design the control strategy, it is necessary to develop a system model for the solar powered hydrogen production process. The operational characteristics of the photovoltaic array, the proton exchange membrane water electrolyzer (PEMWE), and the power converters are investigated. The maximum power output of the photovoltaic array is matched to the operating voltage of the PEMWE by the DC-DC converters. Simulation results of the PV-PEMWE hydrogen production process are discussed.

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.

Research on Maximum Power Point Tracking Method for Photovoltaic System

2012 ◽  
Vol 220-223 ◽  
pp. 2091-2094
Author(s):  
Yue Shen Lai ◽  
Sheng Dong Hou ◽  
Gang Wang
Keyword(s):  
Maximum Power Point Tracking ◽  
Mathematic Model ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Computer Simulation Model ◽  
Maximum Power Point ◽  
Photovoltaic Array ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Photovoltaic Array is nonlinear,and the power generated by it is influenced by sun light,temperature,load and so on In order to improve the system efficiency, firstly, analyzed the physical and mathematic model of photovoltaic array, through the MATLAB Simulink application software simulation tools, set up a computer simulation model of photovoltaic modules.Secondly,this paper gives the improved Perturbation and Observation Method and the Boost circuit used in the controller.after the analysis of some common maximum power point tracking algorithms and DC-DC circuits. Experiments shows that the controller method can rapidly to track the maximum power point,and increase the cell efficiency.

scholarly journals Design of an Efficient Maximum Power Point Tracker Based on ANFIS Using an Experimental Photovoltaic System Data

Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 858 ◽  
Author(s):  
Sadeq D. Al-Majidi ◽  
Maysam F. Abbod ◽  
Hamed S. Al-Raweshidy
Keyword(s):  
Fuzzy Inference ◽  
Experimental Tests ◽  
Climatic Conditions ◽  
Maximum Power ◽  
Training Data ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Inference System ◽  
Photovoltaic Array ◽  
Power Point

Maximum power point tracking (MPPT) techniques are a fundamental part in photovoltaic system design for increasing the generated output power of a photovoltaic array. Whilst varying techniques have been proposed, the adaptive neural-fuzzy inference system (ANFIS) is the most powerful method for an MPPT because of its fast response and less oscillation. However, accurate training data are a big challenge for designing an efficient ANFIS-MPPT. In this paper, an ANFIS-MPPT method based on a large experimental training data is designed to avoid the system from experiencing a high training error. Those data are collected throughout the whole of 2018 from experimental tests of a photovoltaic array installed at Brunel University, London, United Kingdom. Normally, data from experimental tests include errors and therefore are analyzed using a curve fitting technique to optimize the tuning of ANFIS model. To evaluate the performance, the proposed ANFIS-MPPT method is simulated using a MATLAB/Simulink model for a photovoltaic system. A real measurement test of a semi-cloudy day is used to calculate the average efficiency of the proposed method under varying climatic conditions. The results reveal that the proposed method accurately tracks the optimized maximum power point whilst achieving efficiencies of more than 99.3%.

scholarly journals Application and Comparison Between the Conventional Methods and PSO Method for Maximum Power Point Extraction in Photovoltaic Systems Under Partial Shading Conditions

2018 ◽  
Vol 9 (2) ◽  
pp. 631 ◽  
Author(s):  
Bennis Ghita ◽  
Karim Mohammed ◽  
Lagrioui Ahmed
Keyword(s):  
Fuzzy Control ◽  
Pso Algorithm ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Photovoltaic Array ◽  
Point Tracking ◽  
Steady State Oscillation ◽  
Power Point

Several algorithms have been offered to track the Maximum Power Point when we have one maximum power point. Moreover, fuzzy control and neural was utilized to track the Maximum Power Point when we have multi-peaks power points. In this paper, we will propose an improved Maximum Power Point tracking method for the photovoltaic system utilizing a modified PSO algorithm. The main advantage of the method is the decreasing of the steady state oscillation (to practically zero) once the Maximum Power Point is located. moreover, the proposed method has the ability to track the Maximum Power Point for the extreme environmental condition that cause the presence of maximum multi-power points, for example, partial shading condition and large fluctuations of insolation. To evaluate the effectiveness of the proposed method, MATLAB simulations are carried out under very challenging circumstance, namely step changes in irradiance, step changes in load, and partial shading of the Photovoltaic array. Finally, its performance is compared with the perturbation and observation” and fuzzy logic results for the single peak, and the neural-fuzzy control results for the multi-peaks.

Optimization of Photovoltaic Array Configurations in Photovoltaic System

2014 ◽  
Vol 1070-1072 ◽  
pp. 48-51
Author(s):  
Wen Ting Jia ◽  
Xue Ye Wei ◽  
Jun Hong Zhang ◽  
Yi Fei Meng
Keyword(s):  
Output Power ◽  
Photovoltaic Cell ◽  
Energy Conversion Efficiency ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Pv System ◽  
Maximum Power Point ◽  
Photovoltaic Array ◽  
Pv Array ◽  
Power Point

Closely related to the actual output power and the light intensity, the temperature of the photovoltaic cell panel and the load of the PV array or the like. In the case of the external environment is stable and load conditions change, the output power of the PV modules exist Maximum Power Point, in order to improve the self-tracking PV system energy conversion efficiency, maximum power point tracking method may ensure the system running at maximum power points. Photovoltaic power generation system, optimize allocation method of PV array are also discussed in this paper.

scholarly journals Evaluation of a Photovoltaic Energy System Applied to a Drip Irrigation System

2018 ◽  
Vol 10 (8) ◽  
pp. 43
Author(s):  
Soni Willian Haupenthal ◽  
Jair Antonio Cruz Siqueira ◽  
Luciene Kazue Tokura ◽  
Carlos Eduardo Camargo Nogueira ◽  
Marcio Antonio Vilas-Boas ◽  
...  
Keyword(s):  
Drip Irrigation ◽  
Alternative Energy ◽  
System Analysis ◽  
Irrigation System ◽  
Energy System ◽  
Photovoltaic System ◽  
Statistical Quality Control ◽  
Drip Irrigation System ◽  
Statistical Control ◽  
Photovoltaic Energy

This work aimed to evaluate the performance of a drip irrigation system with photovoltaic energy directly connected to the water pumping system through the irrigation uniformity coefficients using the statistical quality control, with the control chart of Shewhart. The experiment was conducted at the State University of West Parana (UNIOESTE), campus of Cascavel, in the Project CASA (Center of Alternative Energy System Analysis), during six days of open sky. The irrigation system contained four lines with 18 drippers each, collecting the flow of each dripper for five minutes, along with the parameters of temperature and solar radiation. In the energy part, the current and the voltage generated by the panel were analyzed. The main results allowed to evaluate that the flows of the drippers showed changes directly proportional to the decrease or increase of the radiation. Even with the changes in radiation levels during the collection period, the system obtained excellent process capability according to the analyzes of the distribution uniformities. It was also concluded that there was a significant relationship between the coefficients (CUC, DUC and CV) with the process capacity of the flow data. The control plot was adequate to diagnose the treatments. Statistical control proved to be effective for the determination of process variability, thus recommending the use of a drip irrigation system with a solar photovoltaic system directly connected to the pump on open sky days with few clouds due to the lower variability in relation to the graph of control and greater uniformity of water distribution.

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