Solar PV Based EV Charging using Moth-Flame Optimization (MFO) Algorithm Based ANFIS Energy Management System

Authors

  • Bandana Gautam, Rajnish Bhasker

Keywords:

Pv, EV, ANFIS, Moth flame optimization

Abstract

This paper provides  a new energy management method for electric vehicle charging in ANFIS based Moth flame optimization (ANFIS-MFO) for the Energy management. The proposed system consists of a grid connected Solar PV system & battery powered energy management system, which is a combination of solar PV and battery power. The system is based on a moth flame algorithm tuned ANFIS technique is used to find optimal power reference for the EV battery based on SOC of the battery. In the proposed system, the peak power of the solar PV system is captured and analyzed. The performance of the proposed method tested with standard P&O-MPPT method. The effective execution of the suggested operation for each mode occurred, and a reduction in the cost of power purchase from the grid was achieved through the proposed MFO EMS. Additionally, the charging and discharging of the battery were carried out effectively without any loss. The simulation is carried out in MATLAB/SIMULINK and the outputs are validated.

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References

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Published

26.03.2024

How to Cite

Bandana Gautam. (2024). Solar PV Based EV Charging using Moth-Flame Optimization (MFO) Algorithm Based ANFIS Energy Management System . International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 4634 –. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/6355

Issue

Vol. 12 No. 21s (2024)

Section

Research Article

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