Analysis of Fuzzy Logic Based MPPT Using Incremental Conductance Technique for PV Cell

Author(s):  
SUNDEEP SIDDULA
2018 ◽  
Vol 10 (12) ◽  
pp. 4787 ◽  
Author(s):  
Muath Bani Salim ◽  
Dervis Emre Demirocak ◽  
Nael Barakat

In this paper, a new environmental sustainability indicator (ESI) is proposed to evaluate photovoltaic (PV) cells utilizing Life Cycle Analysis (LCA) principles. The proposed indicator is based on a model that employs a fuzzy logic algorithm to combine multiple factors, usually used in multiple LCAs, and produce results allowing a comprehensive interpretation of LCA phase sub-results leading to standardized comparisons of various PV cells. Such comparisons would be essential for policymakers and PV cell manufacturers and users, as they allow for fair assessment of the environmental sustainability of a particular type of PV with multiple factors. The output of the proposed model was tested and verified against published information on LCAs related to PV cells. A distinct feature of this fuzzy logic model is its expandability, allowing more factors to be included in the future, as desired by the users, or dictated by a new discovery. It also provides a platform that can be used to evaluate other families of products. Moreover, standardizing the comparison process helps in improving the sustainability of PV cells through targeting individual relevant factors for changes while tracking the combined final impact of these changes on the overall environmental sustainability of the PV cell.


Author(s):  
Oumnia Lagdani ◽  
Mourad Trihi ◽  
Badre Bossoufi

The purpose of this article is to extract the maximum power point at which the photovoltaic system can operate optimally. The system considered is simulated under different irradiations (between 200 W/m<sup>2</sup> and 1000 W/m<sup>2</sup>), it mainly includes the established models of solar PV and MPPT module, a DC/DC boost converter and a DC/AC converter. The most common MPPT techniques that will be studied are: "Perturbation and Observation" (P&amp;O) method, "Incremental Conductance" (INC) method, and "Fuzzy Logic" (FL) control. Simulation results obtained using MATLAB/Simulink are analyzed and compared to evaluate the performance of each of the three techniques.


Author(s):  
Ms Rucha P.Kawde ◽  
Dr. Subhada Muley

Electricity plays an important role in every aspect of life. Day by day as the digitalization is increasing the need of electricity is also increasing. Till now the production of electricity was totally dependent on conventional energy sources. But with increasing load demand these sources are getting exhausted rapidly. So, to reduce dependency on conventional energy sources we have already switched over to non-conventional energy sources which includes solar, wind, hydro, tidal etc. It is found that maximum electricity can be generated using solar energy. Various technologies are invented regarding the tracking of solar energies. Maximum power point tracking is the most popular technique among all which ensures the maximum use of solar energy to get converted into electricity. This paper represents one such method of MPPT i.e., Incremental conductance. The algorithm of incremental conductance with simulations result obtained in MATLAB is briefly discussed in this paper.


Author(s):  
Salah Necaibia ◽  
Mounia Samira Kelaiaia ◽  
Hocine Labar ◽  
Ammar Necaibia

Abstract The Photovoltaic systems have a slow dynamics of convergence toward the maximum power point (MPP), especially those equipped by the Boost converter based on the Conventional Incremental Conductance technique. This paper presents the simulation and hardware implementation of auto-scaling variable step-size MPPT in low cost and low power consumption μ-controller (PIC16F877A). Design and simulation of the proposed system are presented using ISIS PROTEUS. The two MPPT techniques, conventional IncCond method and variable step-size method are simulated in the ISIS PROTUES environment. The simulation results show the high tracking accuracy and fast speed convergence of the proposed method. Indeed, the experimental results are closely similar to those of simulation and also prove the advantages of the proposed technique, such as its reliability and accuracy in tracking the MPP. The suggested MPPT system reduces the complexity in implementation and cost of the photovoltaic systems.


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