Identification of optimal operating point of PV modules using neural network for real time maximum power tracking control

1995 ◽  
Vol 10 (2) ◽  
pp. 360-367 ◽  
Author(s):  
T. Hiyama ◽  
S. Kouzuma ◽  
T. Imakubo
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Tracking Control ◽  
Maximum Power ◽  
Operating Point ◽  
Optimal Operating ◽  
Maximum Power Tracking ◽  
Pv Modules

scholarly journals An efficient Mppt approach of PV systems: incremental conduction pathway

2019 ◽  
Vol 15 (3) ◽  
pp. 1189
Author(s):  
Murari Lal Azad ◽  
Pradip Kumar Sadhu ◽  
P Arvind ◽  
Anagh Gupta ◽  
Tuhin Bandyopadhyay ◽  
...  
Keyword(s):  
Integrated System ◽  
Maximum Power ◽  
Operating Point ◽  
Pv System ◽  
Optimal Operating ◽  
Pv Systems ◽  
Simulink Model ◽  
Pv Module ◽  
Conduction Pathway ◽  
Power Point

<p class="Abstract">Distributed Generation source have wide application due to their phenomenal advantages. These sources include Photovoltaic (PV) cells producing DC voltage at their output that connects the network through a power electronic interface. PV characteristics, on the other hand, illustrate the fact that maximum power can be extracted at the optimal operating point depending upon the solar radiation and ambient temperature. In order to keep   the PV module at its optimal operating point, a DC-DC converter is often used between a PV module and inverter. Consequently, Maximum power point trackers (MPPT) grab the foremost position in the efficiency analysis of the global PV system. Among the several MPPT algorithms, Incremental Conduction technique isemphasised upon as it is extremely simple in implementation within electronic programmable circuits. This paper incorporates the MPPT model using a PV module that always works in its optimal operating point. Design and experimental results of a small prototype of MPPT is presented here based on the Simulink model to verify the advantages of proposed integrated system.</p>

Intelligent maximum power tracking control of a PMSG wind energy conversion system

2019 ◽  
Vol 21 (4) ◽  
pp. 1980-1990 ◽  
Author(s):  
Aicha Asri ◽  
Youcef Mihoub ◽  
Said Hassaine ◽  
Pierre‐Olivier Logerais ◽  
Tayeb Allaoui
Keyword(s):  
Wind Energy ◽  
Energy Conversion ◽  
Tracking Control ◽  
Maximum Power ◽  
Wind Energy Conversion System ◽  
Wind Energy Conversion ◽  
Conversion System ◽  
Maximum Power Tracking ◽  
Energy Conversion System
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