scholarly journals ICM based ANFIS MPPT controller for grid connected photovoltaic system

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. 

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.


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.


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.


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.


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.


2013 ◽  
Vol 345 ◽  
pp. 359-363
Author(s):  
Shi Die Shen ◽  
Wei Yao

In this paper, photovoltaic industry is introduced briefly. For the shortcomings of the fixed-step perturbation and observation (P&O) method in the maximum power point tracking (MPPT) technology, a variable-step P&O method is proposed and the algorithm is further improved. In the PV system, the MPPT is realized by changing the duty cycle of switching tube in the Boost converter. The simulations were conducted in the Matlab/Simulink platform. At last, the experimental results on the 3kw prototype showed that the new MPPT algorithm is effective.


Author(s):  
Mohamed Mahmoud Ismail

This paper presents 200 KW three phase standalone photovoltaic systems supplying pumping station consist of four pumps 40 KW rating. The system utilizes a two stage energy conversion power conditioning unit topology composed of a DC-DC boost converter and three level-three phase voltage source inverter (VSI). The Boost converter in this paper is designed to operate in continuous mode and controlled for maximum power point tracking (MPPT). The fluctuating output power of the PV array system during the day is the commonly problem in the power system.  In this paper a nickel-Cadmium battery will be used to maintain the output power generated from the PV array supplying the pumps to be constant all the day under different operating conditions. The system is modeled and studied using MATLAB/Simulink


Author(s):  
Omar Mohammed Benaissa ◽  
Samir Hadjeri ◽  
Sid Ahmed Zidi

<span lang="EN-US">This paper describes the Grid connected solar photovoltaique system using DC-DC boost converter and the DC/AC inverter (VSC) to supplies electric power to the utility grid. The model contains a representation of the main components of the system that are two solar arrays of 100 kW, boost converter and the grid side inverter. The paper starts with a system description, in this part we have given a definition and a short overview of every component used in this system and they are taken separately. The PV cell model is easy, accurate, and takes external temperature and solar radiation into consideration. It also proposes a maximum power point tracking (MPPT) algorithm. The algorithm incorporated in a DC/DC converter is used to track the maximum power of PV cell. Finally, the DC/AC inverter (VSC) of three- level is used to regulate the ouput voltage of DC/DC converter and connects the PV cell to the grid. Simulation results show how a solar radiation’s change can affect the power output of any PV system, also they show the control performance and dynamic behavior of the grid connected photovoltaic system.</span>


2018 ◽  
Vol 7 (4.35) ◽  
pp. 457
Author(s):  
M. I. Iman ◽  
M. F. Roslan ◽  
Pin Jern Ker ◽  
M. A. Hannan

This work comprehensively demonstrates the performance analysis of Fuzzy Logic Controller (FLC) with Particle Swarm Optimization (PSO) Maximum Power Point Tracker (MPPT) algorithm on a stand-alone Photovoltaic (PV) applications systems. A PV panel, DC-DC Boost converter and resistive load was utilized as PV system. Three different MPPT algorithms were implemented in the converter. The result obtained from the converter was analyzed and compared to find the best algorithm to be used to identify the point in which maximum power can be achieve in a PV system. The objective is to reduce the time taken for the tracking of maximum power point of PV application system and minimize output power oscillation. The simulation was done by using MATLAB/Simulink with DC-DC Boost converter. The result shows that FLC method with PSO has achieved the fastest response time to track MPP and provide minimum oscillation compared to conventional P&O and FLC techniques.


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