scholarly journals A new MPPT technique for optimal and efficient monitoring in case of environmental or load conditions variation

Author(s):  
Bennacer El hassouni ◽  
Abdellatif G.AMRANI ◽  
Ali HADDI

Due to the very high initial investment cost of photovoltaic systems and their low conversion efficiency, it is essential to operate PV generators at the point of maximum power (MPP). Within this framework, our first objective in this thesis is to develop and improve the PV system, contributing to optimizing the PV panels' energy through a DC-DC power electronics converter. For this reason, a further improvement of the incremental conductance technique is proposed to improve the MPP tracking capability of the PV system when the level of solar irradiation is suddenly increased or when the load undergoes variations. The new technique includes two processing phases: a calculation phase to improve the tracking speed and a regulation phase to improve MPP tracking efficiency. In order to evaluate its performance, the proposed new method is compared to other methods, namely the Incremental conventional conductance (INC) technique and the Modified Variable Size Incremental conductance (M-INC) technique. The results show that the proposed technique's overall tracking speed is 3.7 times faster than the conventional INC technique and 1.52 times faster than the modified INC technique. Also, the tracking power losses with the proposed technique are lower compared to other techniques. In terms of overall efficiency, the proposed technique is the most efficient with an efficiency of 94.83%, followed by the modified technique with an overall efficiency of 87.94%. In comparison, the conventional INC technique's efficiency is the lowest and does not exceed 83.33%.

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1512
Author(s):  
Mithun Madhukumar ◽  
Tonse Suresh ◽  
Mohsin Jamil

Photovoltaic (PV) systems have recently been recognized as a leading way in the production of renewable electricity. Due to the unpredictable changes in environmental patterns, the amount of solar irradiation and cell operating temperature affect the power generated by the PV system. This paper, therefore, discusses the grid-integrated PV system to extract maximum power from the PV array to supply load requirements and the supply surplus power to the AC grid. The primary design is to have maximum power point tracking (MPPT) of the non-uniformly irradiated PV array, conversion efficiency maximization, and grid synchronization. This paper investigates various MPPT control algorithms using incremental conductance method, which effectively increased the performance and reduced error, hence helped to extract solar array’s power more efficiently. Additionally, other issues of PV grid-connected system such as network stability, power quality, and grid synchronization functions were implemented. The control of the voltage source converter is designed in such a way that PV power generated is synchronous to the grid. This paper also includes a comparative analysis of two MPPT techniques such as incremental conductance (INC) and perturb-and-observe (P&O). Extensive simulation of various controllers has been conducted to achieve enhanced efficient power extraction, grid synchronization and minimal performance loss due to dynamic tracking errors, particularly under fast-changing irradiation in Matlab/Simulink. The overall results favour INC algorithm and meet the required standards.


2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Amjad Ali ◽  
Wuhua Li ◽  
Xiangning He

A new simple moving voltage average (SMVA) technique with fixed step direct control incremental conductance method is introduced to reduce solar photovoltaic voltage (VPV) oscillation under nonuniform solar irradiation conditions. To evaluate and validate the performance of the proposed SMVA method in comparison with the conventional fixed step direct control incremental conductance method under extreme conditions, different scenarios were simulated. Simulation results show that in most cases SMVA gives better results with more stability as compared to traditional fixed step direct control INC with faster tracking system along with reduction in sustained oscillations and possesses fast steady state response and robustness. The steady state oscillations are almost eliminated because of extremely smalldP/dVaround maximum power (MP), which verify that the proposed method is suitable for standalone PV system under extreme weather conditions not only in terms of bus voltage stability but also in overall system efficiency.


Author(s):  
Jae-Hoon Cho ◽  
◽  
Jin-Il Park ◽  
Won-Pyo Hong ◽  
Myung-Geun Chun ◽  
...  

This paper presents a variable step size incrementalconductance direct Maximum Power Point Tracking (MPPT) method using fuzzy membership for a standalone photovoltaic (PV) system under rapidly changing irradiation. MPPT techniques have been widely applied in PV systems to make a PV array generate maximum power, which depends on solar irradiation. In most applications of MPPT technologies, MPPT algorithm design methods are performed and tested under slowly changing atmospheric conditions such as irradiation and temperature. The short-term effect under rapidly changing irradiation should be considered, however, to improve the dynamic performance of PV system. Our proposed MPPT method is based on an incremental conductance algorithm with a direct control scheme that can directly adjust the duty cycle for the PI controller. A fuzzy membership function is adopted to determine the variable step size according to rapidly changing irradiation. The proposed methods thus has not only faster dynamic performance but also high tracking accuracy. In order to show the effect of the proposed method, the simulation model and proposed MPPT is designed with MATLAB/Simpower and simulated with MATLAB/Stateflow.


Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4529
Author(s):  
Zvonimir Šimić ◽  
Danijel Topić ◽  
Ilija Crnogorac ◽  
Goran Knežević

This paper presents a method for finding an optimal photovoltaic (PV) system according to Croatian legislation. The PV sizing model, in which a decision on investment is made according to economic indicators, is made using MATLAB Software. Based on the input data, the monthly PV system production is calculated, and electricity price formed. According to the PV system production and electricity price, economic indicators are calculated and obtained as output data. The model input data are solar irradiation, load diagram, PV system costs and market price of electricity while the model output data are PV system production, savings, profit, incomes, Net Present Value (NPV) and Levelized Cost of Electricity (LCOE). The obtained economic indicators are presented graphically and used for decision making on an optimal PV system size. The presented model is applied and presented in a case study.


2014 ◽  
Vol 60 (4) ◽  
pp. 315-320 ◽  
Author(s):  
Gustaw Mazurek

Abstract Estimation of Global Tilted Irradiation (GTI) is a key to performance assessment of typical solar systems since they usually employ tilted photovoltaic (PV) modules or collectors. Numerous solar radiation databases can deliver irradiation values both on horizontal and tilted plane, however they are validated mostly with horizontal-plane ground measurements. In this paper we have compared GTI estimates retrieved from five Internet databases with results of measurements at two PV systems located in Poland. Our work shows that in spite of good agreement in annual scale, there is a tendency to underestimate GTI in summer and overestimate in winter, when PV modules can receive less than a half of expected irradiation. The latter issue affects sizing of PV system components and implies a correction needed to achieve all-year long operation.


2018 ◽  
Vol 54 (4) ◽  
pp. 235-245 ◽  
Author(s):  
Abdellahi Ba ◽  
Chighali Ould Ehssein ◽  
Mouhamed El Mamy Ould Mouhamed Mahmoud ◽  
Ouafae Hamdoun ◽  
Aroudam Elhassen

2015 ◽  
Vol 785 ◽  
pp. 106-110
Author(s):  
M.N.M. Hussain ◽  
Ahmad Maliki Omar ◽  
Intan Rahayu Ibrahim ◽  
Kamarulazhar Daud

An identification system of multiple-input single-output (MISO) model is developed in controlling dsPIC microcontroller of positive output buck-boost (POBB) converters for module mismatch condition of photovoltaic (PV) system. In particular, the possibility of the scheme is to resolve the mismatch losses from the PV module either during shading or mismatch module occurrences. The MPPT algorithm is simplified by identification approach of indirect incorporated with a simple incremental direct method to form a combined direct and indirect (CoDId) algorithms. Irregular consumption of solar irradiation on a PV module shall step-up or step down the voltage regarding to the desired DC output voltage of POBB converter. This optimized algorithm will ensure that the PV module to kept at maximum power point (MPP), preventing power loss during module mismatch incident in PV module especially during partial shading condition. The simulation and laboratory results for PV module of polycrystalline Mitsubishi PV-AE125MF5N indicate that the proposed model and development of PV system architecture performs well, while the efficiency up to 97.7% at critical of low solar irradiance level. The controlling signal is based on low-cost embedded microcontroller of dsPIC30F Digital Signal Control (DSC).


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.


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