scholarly journals Maximum Output Power Point Tracking Control of Windmill Power System by Fuzzy Control

1995 ◽  
Vol 7 (3) ◽  
pp. 658-666
Author(s):  
Tomonobu SENJYU ◽  
Jynya TAKAICHI ◽  
Katsumi UEZATO
Keyword(s):  
Fuzzy Control ◽  
Power System ◽  
Output Power ◽  
Tracking Control ◽  
Maximum Output Power ◽  
Maximum Output ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

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%.

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 Performance Improvement for Small-Scale Wind Turbine System Based on Maximum Power Point Tracking Control

Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3938 ◽  
Author(s):  
Ramadoni Syahputra ◽  
Indah Soesanti
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Performance Improvement ◽  
Output Power ◽  
Tracking Control ◽  
Small Scale ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

This paper proposes a strategy for performance improvement of small-scale wind turbine systems using maximum power point tracking control (MPPT). In this study, wind-turbine systems which use permanent magnet synchronous generators and converter devices are modeled in Simulink-Matlab software. In order to increase the power generated, MPPT is used based on the extended perturb and observe (PO) method. This algorithm has the ability to improve the speed of the turbine without oscillation. To analyze the ability of the PO-based MPPT in maximizing output power, performance examination of wind turbine systems in Simulink-Matlab software was conducted. The study is carried out with a 3000 W wind turbine device serving various electrical loads of 50 Ω, 100 Ω, 200 Ω, and 300 Ω, and each ohm varies with a wind speed of 4, 5, 6.5, 7, 8.5, 9, and 10 m/s. The overall turbine system performance found that the maximum increase in system output power occurs when it is loaded with 200 Ω with a wind speed of 6.5 m/s. During this combination of 200 Ω and 6.5 m/s, there are high increments of output power at 135.62% caused by the installation of MPPT controllers, with an average output power increase of 50.77%. The results of this study proved that PO-based MPPT has successfully improved the performance of wind-turbine systems.

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