An Intelligent Incremental Conductance MPPT Method for a Photovoltaic System

2011 ◽  
Vol 480-481 ◽  
pp. 739-744
Author(s):  
Kuei Hsiang Chao ◽  
Yu Hsu Lee
Keyword(s):  
Maximum Power ◽  
Photovoltaic System ◽  
Step Size ◽  
Pv System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Incremental Conductance ◽  
Power Point ◽  
Array Output

In this paper, a novel incremental conductance (INC) maximum power point tracking (MPPT) method based on extension theory is developed to make full use of photovoltaic (PV) array output power. The proposed method can adjust the step size to track the PV array’s maximum power point (MPP) automatically. Compared with the conventional fixed step size INC method, the presented approach is able to effectively improve the dynamic response and steady state performance of a PV system simultaneously. A theoretical analysis and the design principle of the proposed method are described in detail. Some simulation results are performed to verify the effectiveness of the proposed MPPT method.

scholarly journals Hybrid Fuzzy Based MPPT Techniques for Maximum Power Extraction

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1140-1148
Keyword(s):  
Maximum Power ◽  
Photovoltaic System ◽  
Voltage Source ◽  
Voltage Source Converter ◽  
Pv System ◽  
Power Extraction ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Incremental Conductance ◽  
Power Point

The extensive usage of solar has extended the opportunity of research to increase the efficiency of PV module. Maximum Power Point Tracking technique plays an important role. In P & O and Incremental conductance the power produced is less. In this paper a Fuzzy based P & O and Fuzzy based Incremental Conductance MPPT techniques are presented to extract the maximum power from the photovoltaic system by considering the dynamic variation in irradiations and temperature also. Here the 100 kW PV array is considered and it is connected to the utility grid via a DC-DC boost converter of 500volts with a 3 phase three level voltage source converter. The result is obtained by the MAT LAB Simulink and the same is appraised with the traditional P & O and Incremental conductance. The PV System produces the maximum power by the application of Fuzzy based incremental Technique compared to conventional methods.

Improvement of P&O MPPT Method for Photovoltaic System Based on Adaptive Prediction Algorithm

2012 ◽  
Vol 263-266 ◽  
pp. 2131-2137
Author(s):  
Qing Fu ◽  
Guang Lei Cheng ◽  
Feng Jie Liu ◽  
Gui Long Ma
Keyword(s):  
Output Power ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Prediction Algorithm ◽  
Pv System ◽  
Maximum Power Point ◽  
Predictive Algorithm ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

To utilize maximum solar energy, maximum power point tracking (MPPT) control is much important for PV system. The paper presents a new MPPT method based on adaptive predictive algorithm which is superior to traditional Perturbation and Observation (P&O) method. PV output power is predicted to improve the tracking speed and deduce the possibility of misjudgment of increasing or decreasing the PV output voltage. Because PV output power can be obtained directly, close loop can be established so as to achieve a precise prediction. Simulations and experiments prove that proposed MPPT control can track the maximum power point rapidly, and the system can operate steadily with this MPPT method.

scholarly journals Design and Experimental Implementation of a Hysteresis Algorithm to Optimize the Maximum Power Point Extracted from a Photovoltaic System

Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1866 ◽  
Author(s):  
Nubia Ponce de León Puig ◽  
Leonardo Acho ◽  
José Rodellar
Keyword(s):  
Power Efficiency ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Pv System ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

In the several last years, numerous Maximum Power Point Tracking (MPPT) methods for photovoltaic (PV) systems have been proposed. An MPPT strategy is necessary to ensure the maximum power efficiency provided to the load from a PV module that is subject to external environmental perturbations such as radiance, temperature and partial shading. In this paper, a new MPPT technique is presented. Our approach has the novelty that it is a MPPT algorithm with a dynamic hysteresis model incorporated. One of the most cited Maximum Power Point Tracking methods is the Perturb and Observer algorithm since it is easily implemented. A comparison between the approach presented in this paper and the known Perturb and Observer method is evaluated. Moreover, a new PV-system platform was properly designed by employing low cost electronics, which may serve as an academical platform for further research and developments. This platform is used to show that the proposed algorithm is more efficient than the standard Perturb and Observer method.

scholarly journals DEVELOPMENT AND ANALYSIS OF INVERTED-V MPPT TECHNIQUE FOR PHOTOVOLTAIC SYSTEM

2021 ◽  
Vol 9 (1) ◽  
pp. 179-190
Author(s):  
Sheilza Jaina, Megha Chambyal
Keyword(s):  
Maximum Power ◽  
Photovoltaic System ◽  
Future Research ◽  
Pv System ◽  
Pv Systems ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Incremental Conductance ◽  
Conductance Method ◽  
Power Point

Three main factors which affect the efficiency of any Photovoltaic system are, the efficiency of the Photovoltaic pane used, efficiency of the inverter used and efficiency of the maximum power point tracking (MPPT) algorithm used. MPPT techniques are widely used in the Photovoltaic (PV) system to extract the maximum power from the Photovoltaic system. MPPT aims that in any environmental conditions i.e for any irradiation or temperature, maximum possible energy is extracted from PV systems. In this paper, Perturb & Observe (P&O), Incremental conductance techniques of MPPT are implemented and analyzed. On the basis of the output voltage, power, current, duty cycle and efficiency of the boost converter, comparison of these techniques has been done. To extract the maximum power from the Photovoltaic system, Inverted-V Method has been developed and compared with Perturb & Observe, Incremental conductance method with the help of MATLAB Simulink software. In this paper, it has been concluded that Inverted V methods has more efficiency and performs better as compared to the other two methods. This paper could be beneficial as a quick reference for MPPT users and future research application for PV system.

scholarly journals Simulation of the Incremental Conductance Algorithm for Maximum Power Point Tracking of Photovoltaic System Based On Matlab

2019 ◽  
Vol 12 (1) ◽  
pp. 34-43
Author(s):  
Parween R.Kareem
Keyword(s):  
Maximum Power Point Tracking ◽  
Electrical Power ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Incremental Conductance ◽  
Conductance Method ◽  
Power Point

Due to the urgent need to make maximum use of electrical power generated from the Photo-Voltaic System (PVS) solar panels, several techniques have been developed for this purpose. Maximum Power Point Tracking (MPPT) algorithm raises the efficiency of PVS’s. Simulation of the complete (PVS) possesses the ability of MPPT is present in this paper. The approved PVS consists of a PV array, DC-DC Boost Converter and MPPT algorithm using Incremental Conductance Method (INC). All parts of the system were simulated programmatically using MATLAB. The obtained Results showed the efficiency of the algorithm used to extract the maximum power regardless of changes in solar radiation and cell’s temperature

scholarly journals Comparative Analysis of Maximum Power Point Tracking Controllers under Partial Shaded Conditions in a Photovoltaic System

2015 ◽  
Vol 12 (1) ◽  
pp. 15 ◽  
Author(s):  
R. Ramaprabha ◽  
S.P. Chitra
Keyword(s):  
Maximum Power Point Tracking ◽  
Optimal Operation ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Control Technique ◽  
Pv System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Mismatching effects due to partial shaded conditions are the major drawbacks existing in today’s photovoltaic (PV) systems. These mismatch effects are greatly reduced in distributed PV system architecture where each panel is effectively decoupled from its neighboring panel. To obtain the optimal operation of the PV panels, maximum power point tracking (MPPT) techniques are used. In partial shaded conditions, detecting the maximum operating point is difficult as the characteristic curves are complex with multiple peaks. In this paper, a neural network control technique is employed for MPPT. Detailed analyses were carried out on MPPT controllers in centralized and distributed architecture under partial shaded environments. The efficiency of the MPPT controllers and the effectiveness of the proposed control technique under partial shaded environments was examined using MATLAB software. The results were validated through experimentation. 

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