A Maximum-Output-Power-Point-Tracking-Controlled Dual-Active Bridge Converter for Photovoltaic Energy Integration Into MVDC Grids

2019 ◽  
Vol 34 (1) ◽  
pp. 170-180 ◽  
Author(s):  
Jingxin Hu ◽  
Philipp Joebges ◽  
Goutham C. Pasupuleti ◽  
Nurhan Rizqy Averous ◽  
Rik W. De Doncker
Keyword(s):  
Output Power ◽  
Maximum Output Power ◽  
Maximum Output ◽  
Energy Integration ◽  
Photovoltaic Energy ◽  
Dual Active Bridge ◽  
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.

Maximum Power Point Tracking Algorithms for Grid-Connected Photovoltaic Energy Conversion System

2013 ◽  
Vol 3 (4) ◽  
pp. 424
Author(s):  
J.Surya Kumari ◽  
Ch. Saibabu
Keyword(s):  
Output Power ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Photovoltaic Energy ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point ◽  
Pv Generation ◽  
Array Output

<p class="Default">As the use of energy is increasing, the requirements for the quality of the supplied electrical energy are more tighten. Energy is the most basic and essential of all resources.  As conventional sources of energy are rapidly depleting and the cost of energy is rising, photovoltaic energy becomes a promising alternative source. Photovoltaic (PV) generation is becoming increasingly important as a renewable source since it exhibits a great many merits such as cleanness, little maintenance and no noise. The output power of PV arrays is always changing with weather conditions, i.e., solar irradiation and atmospheric temperature. Therefore, a Maximum Power Point Tracking (MPPT) control to extract maximum power from the PV arrays at real time becomes indispensable in PV generation system. In recent years, a large number of techniques have been proposed for tracking the maximum power point (MPP). MPPT is used in photovoltaic (PV) systems to maximize the photovoltaic array output power, irrespective of the temperature and radiation conditions and of the load electrical characteristics the PV array output power is used to directly control the dc/dc converter, thus reducing the complexity of the system. The resulting system has high-efficiency. This paper presents in details comparison  of most popular MPPT algorithms techniques which are Perturb &amp; Observe algorithm(P&amp;O) and Improved Perturb &amp; Observe algorithm(IPO). Improved Perturb &amp; Observe algorithm (IPO), is a very promising technique that allows the increase of efficiency and reliability of such systems. Modeling and designing a PV system with Improved Perturb &amp; Observe algorithm (IPO) is remarkably more complex than implementing a standard MPPT technique. In this paper, Improved Perturb &amp; Observe algorithm (IPO), system for PV arrays is proposed and analyzed.</p>

Review of Maximum Power Point Tracking Technology for Photovoltaic Cells

2013 ◽  
Vol 448-453 ◽  
pp. 1542-1546
Author(s):  
Nan Jin ◽  
Dong Dong Gu ◽  
Guang Zhao Cui
Keyword(s):  
Maximum Power Point Tracking ◽  
Maximum Output Power ◽  
Maximum Power ◽  
Solar Irradiation ◽  
Maximum Output ◽  
Maximum Power Point ◽  
Advantages And Disadvantages ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

The output characteristics of photovoltaic (PV) cells are usually nonlinear, influenced by solar irradiation, environmental temperature and load characteristics. The maximum output power of PV cells changes with external environment. In order to improve the system efficiency and make PV cells work near the maximum power point (MPP), it is necessary to adjust the operating point. A variety of maximum power point tracking (MPPT) methods have been proposed. This paper compares these methods and summarizes the advantages and disadvantages of them. Finally, the key problems and development prospects of MPPT technology are analyzed.

Magnus Wind Turbine Emulator With MPPT by Cylinder Rotation Control

2018 ◽  
Vol 140 (10) ◽  
Author(s):  
Leonardo Candido Corrêa ◽  
João Manoel Lenz ◽  
Cláudia Garrastazu Ribeiro ◽  
Felix Alberto Farret
Keyword(s):  
Wind Turbine ◽  
Output Power ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Control Technique ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point ◽  
Turbine Model

An emulator for the nonconventional Magnus wind turbine was designed and developed in this study. A brief discussion is made of this special case of horizontal axis wind generator and of the main physics principles involving the Magnus phenomenon. A mathematical model was used to emulate the static behavior of the Magnus wind turbine and a detailed analysis is presented about its peculiar rotating cylinder characteristics. Based on the relationship between cylinder blade rotation and power coefficient, a hill climb search algorithm was developed to perform maximum power point tracking. The impact of the cylinder's rotation speed on the turbine net output power was evaluated. A controlled direct current motor was used to provide torque, based on the Magnus turbine model, and drive a permanent magnet synchronous generator (PMSG); the latter was controlled by a buck converter in order to extract the maximum generated power (MGP). Simulations of the Magnus wind turbine model and its maximum power point tracking (MPPT) control are also presented. A prototype of the proposed emulator was developed and operated by a user-friendly LabVIEW interface. Measurements of the power delivered to the load were acquired for different wind speeds; these results were analyzed and compared with simulated values showing a good behavior of the emulator with respect to the turbine model. The proposed control technique for maximizing the output power was validated by emulated results. The modeling and development of the Magnus turbine emulator also serve to encourage further studies on generation and control with this wind machine.

Neural Modeling of Fuzzy Controllers for Maximum Power Point Tracking in Photovoltaic Energy Systems

2018 ◽  
Vol 47 (8) ◽  
pp. 4519-4532 ◽  
Author(s):  
Jose Manuel Lopez-Guede ◽  
Josean Ramos-Hernanz ◽  
Necmi Altın ◽  
Saban Ozdemir ◽  
Erol Kurt ◽  
...  
Keyword(s):  
Maximum Power Point Tracking ◽  
Energy Systems ◽  
Maximum Power ◽  
Neural Modeling ◽  
Maximum Power Point ◽  
Fuzzy Controllers ◽  
Photovoltaic Energy ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Daily Constant PV Output Power Supplying AC pumps using Batteries

2016 ◽  
Vol 2 (2) ◽  
pp. 275
Author(s):  
Mohamed Mahmoud Ismail
Keyword(s):  
Output Power ◽  
Boost Converter ◽  
Operating Conditions ◽  
Voltage Source ◽  
Maximum Power Point ◽  
Pv Array ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Three Phase ◽  
Power Point

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

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