Modeling and Control of a SVM based Multiport Converter for EV Charging Station with PV and Battery

Because of the restricted storage capacity of the batteries found on board electrical vehicles (EVs), there is an urgent need for charging stations to be located in a broad variety of locations. This is especially true given the growing popularity of these eco-friendly automobiles. However, fast cha...

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Bibliographic Details
Published inNeuroQuantology Vol. 20; no. 10; p. 3963
Main Authors N Sambasiva Rao, I Prasanna Kumar, Gorrumuchu, Neelesh
Format Journal Article
LanguageEnglish
Published Bornova Izmir NeuroQuantology 01.01.2022
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Summary:Because of the restricted storage capacity of the batteries found on board electrical vehicles (EVs), there is an urgent need for charging stations to be located in a broad variety of locations. This is especially true given the growing popularity of these eco-friendly automobiles. However, fast charging stations, particularly super-fast charging stations, have the potential to strain the electrical infrastructure by causing an overload during peak hours, a sudden gap in power, and a drop in voltage. This research describes the application and modelling of space vector modulation to multiport converter based electric vehicle (EV) charging station integrated with photovoltaic power generation and battery energy storage system. In this article, the control system and combination of PV power generation, EV charging station, and battery energy storage (BES) provides superior stabilisation. This includes power gap balancing, peak shaving and valley filling, and voltage sag compensation. As a consequence of this, the influence exerted on the power grid is minimised as a result of the matching that occurs between the daily charging demand and enough daytime PV generation. The simulation results are shown to confirm the benefits at different modes of this proposed multiport EV charging circuits with the PV-BES configuration using the SVM approach. In addition, SiC devices are implemented at the electric vehicle charging station in order to further improve the station's efficiency
ISSN:1303-5150
DOI:10.14704/nq.2022.20.10.NQ55387