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Title : INTEGRATED RES WITH ANN-MPPT FOR EFFICIENT POWER GENERATION AND WIRELESS TRANSMISSION FOR PV APPLICATIONS

Author : Mrs. K. Yojana, Mrs.Bhavani, Ms. K. Sunitha

Abstract :

The integration of renewable energy sources (RESs) into distribution power networks is of utmost importance due to the growing worldwide demand for energy and the pressing need to adopt more sustainable practices. An important part of building-integrated centralized generation in low-voltage (LV) DC networks is the usage of rooftop photovoltaic (PV) systems, which are the primary emphasis of this project. To maximize the efficiency of power production, a method called Maximum Power Point Tracking (MPPT) is used. This technique is based on Artificial Neural Networks (ANNs). It works especially well in partly shadowed situations, allowing the PV panels to harvest the most power possible. A Luo converter is used to monitor and optimize the power output of the PV system after it has produced electricity. Then, in order to transmit power wirelessly, the Luo converter's output is sent to a high-frequency converter. The ability to transmit electricity wirelessly improves the system's scalabil

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International Journal of Engineering Research & Informatics (IJERI)
E-ISSN: 2348-6481

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