Research on Photovoltaic System with Supper Capacitor Based on Improved MPPT Algorithm

2013 ◽  
Vol 827 ◽  
pp. 287-291
Author(s):  
Lei Wu ◽  
Sha Sha Shi ◽  
Jing Hui

The output power of photovoltaic (PV) cells would crucially change due to the intensity of solar irradiation and the environment temperature. For the sake of achieving more efficiency of solar power system, the Maximum Power Point Tracking (MPPT) is highly demanded. This paper focuses on analyzing the implemental principle of MPPT with an improved incremental method under the standard conditions. An algorithm is applied to PV system where supper capacitor is chose as energy storage element. Finally, an experimental prototype was designed to verify the validity of the improved increment method. It provides the contrast experiment waveforms between the improved increment method and increment conductance method. The result of experimental shows the effectiveness of the algorithm.

2018 ◽  
Vol 7 (3) ◽  
pp. 1508 ◽  
Author(s):  
R Pavan Kumar Naidu ◽  
S Meikandasivam

In this paper, grid-connected photovoltaic (PV) system is presented. PV system consists of a photovoltaic module, a boost converter, and voltage source inverter. ANFIS based ICM (Incremental Conductance Method) MPPT (Maximum Power Point Tracking) controller is utilized to produce gate signal for DC-DC boost converter. This controller is used for optimizing the total performance of the Photovoltaic system in turn the errors were reduced in Voltage Source Inverter (VSI). The grid-connected PV system performance is evaluated and har-monics occurred in the system are decreased. The proposed methodology is implemented in MATLAB/Simulink. 


2021 ◽  
Vol 9 (1) ◽  
pp. 179-190
Author(s):  
Sheilza Jaina, Megha Chambyal

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.


Author(s):  
Bennacer El Hassouni ◽  
M Ourahou ◽  
W. Ayrir ◽  
A. Haddi ◽  
A.G. Amrani

Abstract:The transfer of the power from the PV generator to the load is not always optimal. The operating point of the characteristic of the said generator is strongly linked to the temperature variations, the solar irradiation and the load. In order for the module to provide its maximum available power, it’s necessary to permanently adapt the load with the photovoltaic generator. This adaptation can be carried out by inserting a DC-DC converter (boost) controlled by a “Maximum Power Point Tracking” (MPPT). The work is a comparative study of the power maximization methods incremental conductance, Hill climbing and perturbation and observation. Matlab is used to implement modeling and simulation tasks and to compare the efficiency and accuracy of execution for the selected MPPT methods. The simulation results for operating characteristics I-V and P-V for various cell temperature and solar irradiation closely matched manufacturer data sheet of the solar panel. Also, the algorithms described in this work have a considerable higher precision and it can be concluded that the output power of the PV module for the Incremental Conductance method is comparatively greater than the P&O and Hill Climbing method in a different conditions.


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3260
Author(s):  
Ming-Fa Tsai ◽  
Chung-Shi Tseng ◽  
Kuo-Tung Hung ◽  
Shih-Hua Lin

In this study, based on the slope of power versus voltage, a novel maximum-power-point tracking algorithm using a neural network compensator was proposed and implemented on a TI TMS320F28335 digital signal processing chip, which can easily process the input signals conversion and the complex floating-point computation on the neural network of the proposed control scheme. Because the output power of the photovoltaic system is a function of the solar irradiation, cell temperature, and characteristics of the photovoltaic array, the analytic solution for obtaining the maximum power is difficult to obtain due to its complexity, nonlinearity, and uncertainties of parameters. The innovation of this work is to obtain the maximum power of the photovoltaic system using a neural network with the idea of transferring the maximum-power-point tracking problem into a proportional-integral current control problem despite the variation in solar irradiation, cell temperature, and the electrical load characteristics. The current controller parameters are determined via a genetic algorithm for finding the controller parameters by the minimization of a complicatedly nonlinear performance index function. The experimental result shows the output power of the photovoltaic system, which consists of the series connection of two 155-W TYN-155S5 modules, is 267.42 W at certain solar irradiation and ambient temperature. From the simulation and experimental results, the validity of the proposed controller was verified.


2012 ◽  
Vol 430-432 ◽  
pp. 1348-1351
Author(s):  
Yu Shui Huang ◽  
Yan Jie Wei ◽  
Xue Chen

The output of photovoltaic (PV) array is affected by the environmental factors such as irradiation and temperature, so an effective maximum power point tracking (MPPT) method of PV array is necessary. In this paper, a modified perturb and observe (MPO) method is proposed to achieve MPPT for a PV system and to improve the shortcomings of prior methods. Comparing with a typical perturb and observe (P&O) MPPT method, the MPO efficiency is improved in transient state by the proposed MPPT as theoretical prediction.


2019 ◽  
Vol 8 (2S8) ◽  
pp. 1140-1148

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.


2018 ◽  
Vol 7 (4.24) ◽  
pp. 455
Author(s):  
Gujjala Trilokya ◽  
M.Rama sekhara Reddy

The advanced reactive power regulation is planned to direct the highest and the voltages at least point of regular pairing inside the cutoff points set up in grid codes for consistent operation. These work displays a regulating technique to which the grid associated PV system meaning to direct the  power of both active and reactive infused to the electrical system amid the voltage faults that are uneven in nature. Fuzzy controller is propel controller which is for the most part appropriate for the personal fundamental guidance tool. which additionally gave the electronic system operation by the master choice. The reference of active power  is acquired from a Maximum Power Point Tracking (MPPT) calculation. The advanced force methodology creates the necessary reference currents that forced by the grid-tied inverter from the coveted P and Q powers and the deliberate voltage supply. In unequal voltage sags, positive and negative sequence KVAr are consolidated to adaptable boost and even out the phase voltages; maximum phase voltage is controlled below as far as possible and the base phase voltage simply over as far as possible. The plan is approved to a solitary step PV system where the currents that are  regulated by means of prescient control. By using the fuzzy controller for a nonlinear system which permit the decrease for the questionable impact in the system which control and impeccably enhance the effectiveness. Results demonstrating the execution of the procedure are introduced amid uneven  sags and swells.


2011 ◽  
Vol 480-481 ◽  
pp. 739-744
Author(s):  
Kuei Hsiang Chao ◽  
Yu Hsu Lee

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.


2012 ◽  
Vol 263-266 ◽  
pp. 2131-2137
Author(s):  
Qing Fu ◽  
Guang Lei Cheng ◽  
Feng Jie Liu ◽  
Gui Long Ma

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.


Author(s):  
Ahmad Fudholi ◽  
Lim Chin Haw ◽  
Kamaruzzaman Sopian ◽  
Ahmed Mohamed Omer Abdulmula

<span>This paper describes the performance of tracking photovoltaic (PV) system for mobile station. The system consists of tracking PV array, the battery bank, the maximum power point tracking (MPPT) controller and the DC/AC inverter). This system is the first full solar power station, which acts as pilot project by Celcom Sdn. Bhd. Success of this system shows potential of electrify rural remote area. The design is hoped to be a pioneer and acts as well-known system in order to ensure renewable energy is the future supply of electricity in far located urban area. This paper showes the record of the battery state-of-charge (SOC) as a function of time for rainy and sunny days.</span>


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