scholarly journals A Fuzzy Logic Control Method for MPPT to Improve Solar System Efficiency

2019 ◽  
Vol 9 (1) ◽  
pp. 888-892
Keyword(s):  
Control Method ◽  
Block Diagram ◽  
Solar Panel ◽  
Control Technique ◽  
Primary Circuit ◽  
Maximum Output ◽  
Point Tracking ◽  
Logic Control ◽  
Cloudy Weather ◽  
Power Point

Solar energy is act clean as well as renewable source of energy. Hence the use of PV systems has used in many applications. Big-spread use has resulted in decreased solar panel production expenses. But the low effectiveness of a solar panel owing to variables such as solar insulation, clouds and shading impact continues one of the greatest issues. Due to variable concentrations of isolation, the panel output remains variable during cloudy weather. To increase the solar panel's efficiency, the maximum algorithm for power point tracking needed as it was discovered only a small percentage of the energy incident is transformed into electricity. DC-DC Converter (Boost Converter) design helps to increase the panel output, thereby improving effectiveness and output voltage using reasonable control technique. This article discusses the development of the fluctuating MPPT logic control to track the maximum output point and also to compensate for fluctuating power during cloudy weather. The suggested primary circuit block diagram. The simulation study is carried out and the proposed circuit is implemented by hardware. MATLAB Simulink is used for simulating the circuit.

scholarly journals Maximizing Output Power of a Solar Panel via Combination of Sun Tracking and Maximum Power Point Tracking by Fuzzy Controllers

2010 ◽  
Vol 2010 ◽  
pp. 1-13 ◽  
Author(s):  
Mohsen Taherbaneh ◽  
A. H. Rezaie ◽  
H. Ghafoorifard ◽  
K. Rahimi ◽  
M. B. Menhaj
Keyword(s):  
Output Power ◽  
Maximum Power Point Tracking ◽  
Solar Panel ◽  
Maximum Power ◽  
Maximum Output ◽  
Maximum Power Point ◽  
Fuzzy Controllers ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

In applications with low-energy conversion efficiency, maximizing the output power improves the efficiency. The maximum output power of a solar panel depends on the environmental conditions and load profile. In this paper, a method based on simultaneous use of two fuzzy controllers is developed in order to maximize the generated output power of a solar panel in a photovoltaic system: fuzzy-based sun tracking and maximum power point tracking. The sun tracking is performed by changing the solar panel orientation in horizontal and vertical directions by two DC motors properly designed. A DC-DC converter is employed to track the solar panel maximum power point. In addition, the proposed system has the capability of the extraction of solar panelI-Vcurves. Experimental results present that the proposed fuzzy techniques result in increasing of power delivery from the solar panel, causing a reduction in size, weight, and cost of solar panels in photovoltaic systems.

scholarly journals Design and Simulation of SEPIC Converter with Fuzzy-logic MPPT for Standalone System

2020 ◽  
pp. 112-119
Author(s):  
Sudharsan V N, Dr.K. Ranjith Kumar Rahulkumar J
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Control Method ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Logic Control ◽  
Control Scheme ◽  
Power Point

This Paper establishes the system of Solar fed independent systems with a SEPIC converter with Dual Input and Dual output. The Maximum power point tracking of solar has been achieved by Fuzzy-logic Control method. The Control scheme implemented in this helps to extract maximum power effectively. The various suitable operations of converter have been achieved through Real time simulator (RTDS) and the outcomes are highlighted.

scholarly journals A Modified ESC Algorithm for MPPT Applied to a Photovoltaic System under Varying Environmental Conditions

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Arnaud Flanclair Tchouani Njomo ◽  
Godpromesse Kenne ◽  
Rostand Marc Douanla ◽  
Lionel Leroy Sonfack
Keyword(s):  
Environmental Conditions ◽  
Control Method ◽  
Renewable Energy Sources ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Control Technique ◽  
Atmospheric Conditions ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point

Photovoltaic solar energy is one of the most important renewable energy sources. However, the production of this energy is nonlinear and varies depending on atmospheric parameters. Therefore, the operating point of the photovoltaic panel (PV) does not always coincide with the maximum power point (MPP). A mechanism that allows the research of the maximum power point known as maximum power point tracking (MPPT) algorithm is then needed to yield the maximum power permanently. This paper presents an intelligent control technique based on the ESC (Extremum Seeking Control) method for MPPT under varying environmental conditions. The proposed technique is an improvement of the classical ESC algorithm with an additional loop in order to increase the convergence speed. A detailed stability analysis is given not only to ensure a faster convergence of the system towards an adjustable neighborhood of the optimum point but also to confirm a better robustness of the proposed method. In addition, simulation results using Matlab/Simulink environment and experimental results using Arduino board are presented to demonstrate that the proposed modified ESC method performs better than the classical ESC under varying atmospheric conditions.

scholarly journals Pengaruh Algoritma Peturb & Observe pada Irradiance, Suhu dan Beban Bervariasi

AVITEC ◽  
2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Ernando Rizki Dalimunthe
Keyword(s):  
Output Power ◽  
Maximum Output Power ◽  
Maximum Power ◽  
Maximum Output ◽  
Average Output ◽  
Point Tracking ◽  
Power Simulation ◽  
Power Point Tracking ◽  
Duty Cycles ◽  
Power Point

Optimizing the output power value of a solar cell requires a tracker. The tracking is called the maximum power point tracking (MPPT) which will produce a maximum output power value. Each component in this system is modeled into Simulink. This simulation is designed to optimize the work of solar cells by searching maximum power points using perturb and observe (P & O) algorithms, then duty cycles are output  of the algorithms become Buck-Boost Converter inputs as switching so they can produce output power with better output  power. Simulation results show that MPPT can increase the average output power on changes in the value of sun irradiation, temperature and load than systems that do not use MPPT. The factor of the average difference in power is 37.82%.

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