Fuzzy Maximum Power Point Tracking Techniques Applied to a Grid-Connected Photovoltaic System

Diaz, Neson; Hernández, Johann; Duarte, Oscar

doi:10.5772/13879

Cited by 4 publications

(1 citation statement)

References 27 publications

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“…Fuzzy-based MPPT was established in [22] with the inputs of duty ratio and chagrin power through PIC microcontroller, but on the other hand, dynamic irradiation change was not realized. PV power error and change in error were fed to the input of fuzzy-based cognitive maps MPPTcontroller in [23]. is controller requires historical data for training.…”

Section: Introductionmentioning

confidence: 99%

Biased Maximum Power Extraction from a PV during Low Irradiation and a Highly Stiffed Grid Condition

Prasad

Sivakumar²

2022

International Transactions on Electrical Energy Systems

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Growing electrical demand is to be met dynamically through conventional and nonconventional power sources. PV power generation plays a vital role. Because of low irradiation and overcast weather condition, the installed PV sources are not fully utilized. Many research papers were presented to extract maximum power from PV using various MPPT techniques. This paper presents a new idea of implementing a biased transformer to extract maximum power during the above condition. The proposed method uses three winding transformers to give sufficient biased voltage and current. The biased current and voltage were obtained from the grid that is fed to the primary winding—two of the three winding transformers through the controller. A 10 kW panel is checked for low irradiation and overcast weather condition using the biased MPPT technique. The proposed method is compared with the conventional incremental conductance method with power, cost, and efficiency analysis. Simulation was carried out in MATLAB/Simulink software and experimentally evaluated through a suitable hardware setup.

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Section: Introductionmentioning

confidence: 99%