1. Comprehensive analysis of optimal apportionment of EV charging station in a radial distribution system.
- Author
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Sattianadan, D., Anusha, R., Fernandez, S. George, Sudhakaran, M., and Sridevi, S.
- Subjects
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ELECTRIC vehicle charging stations , *LARGE scale systems , *OPTIMIZATION algorithms , *DISTRIBUTED power generation , *GRIDS (Cartography) , *ELECTRIC vehicles - Abstract
To Electric vehicles (EVs) are large loads and with the penetration of more EVs into the grid, they always can affect the power system network on a large scale. While investigating, the impact of EV is felt in the grid system from an electrical perspective (like voltage stability, losses, reliability). The project aims at finding a feasible solution for reducing the burden on the power system. The main areas of concern while integrating EVs into the system are power losses, utilization factors, voltage, and reliability. The extended view of the project is to implement renewable sources of energy in the form of distributed generation that can greatly help in reducing the impact of a large number of EV charging station (CS) loads on the grid. Hence this paper presents a comprehensive analysis using TLBO and Grey Wolf optimization algorithms for reducing power loss, and reliability while improving the utilization factor of the system. The method is tested in a standard IEEE 33 bus system using MATLAB. The results show a reduction in power loss and other parameters apart from which the system's voltage profile has been improved to a large extent. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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