S., Sahana and Sasikala, K. (2023) Hybrid Power Generation and Storage System for the Application of EV Using IoT and Big Data. In: 2023 International Conference on Sustainable Communication Networks and Application (ICSCNA), Theni, India.
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Hybrid Power Generation and Storage System for the Application of EV Using IoT and Big Data _ IEEE Conference Publication _ IEEE Xplore.pdf
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Abstract
In recent years, the installation of renewable energy facilities has grown rapidly due to the movement to reduce greenhouse gas emissions and preserve fossil fuels. Hence, the use of Electric vehicles (EV) are becoming more prevalent, making it necessary to improve and expand charging infrastructure. Hybrid renewable energy source (HRES) is needed for EV charging stations because the stored energy in an EV battery is insufficient for long distance travel. In this work, the concept of EV charging stations that are capable of being integrated with renewable energy sources (RES) and energy storage devices is proposed. Since the output from fuel cell and Photovoltaic (PV) system are intermittent due to environmental conditions, DC-DC converter is required to enhance voltage. Hence, Boost and improved Cuk converter is employed to improve voltage attained from fuel cell and PV system respectively. A single phase voltage source inverter (1 VSI) assists in the conversion of the DC link voltage to AC voltage, which is subsequently delivered to the EV battery for further usage. The AC power is then supplied to the grid. Internet of Things (IoT) is employed for remote monitoring and control purposes by sending vital data to cloud, in which the parameters such as DC link voltage and State of Charge (SOC) of battery is monitored. The MATLAB Simulink software is used to run all of the components and produce the appropriate results. It is clear from these results that the new approach is 97% more efficient than the traditional approaches.
Item Type: | Conference or Workshop Item (Paper) |
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Subjects: | Electrical and Electronics Engineering > Digital Instrumentation |
Divisions: | Electrical and Electronics Engineering |
Depositing User: | Mr IR Admin |
Date Deposited: | 20 Sep 2024 11:07 |
Last Modified: | 20 Sep 2024 11:07 |
URI: | https://ir.vistas.ac.in/id/eprint/6757 |