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Optimal synergetic control using chaotic dragon fly-based MPPT with cascaded ANFIS method for ultrafast electric vehicle charging by hybrid RES systems

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Abstract

This work provides a synergetic control approach for ultra-battery charging using a hybrid photovoltaic (PV) system and a doubly fed induction generator (DFIG)-based wind energy conversion system (WECS). The developed system aims to maximize the utilization of renewable energy sources and improve the charging efficiency of electric vehicle (EV) battery. To achieve ultrafast battery charging, an innovative chaotic dragon fly optimization-based maximum power point (Chaotic DFO-MPPT) along with cascaded adaptive neuro-fuzzy inference system (ANFIS) control strategy is developed based on the power generation and load demand. These control algorithms optimizes the power flow among the PV array, DFIG wind turbine and the EV battery system to ensure efficient battery charging while maintaining grid stability. The purpose of using a chaotic DFO-based MPPT for a DFIG-based WECS is to track the power output and efficiency of the wind turbine, while ensuring the power stability and quality of the grid. Proportional integral (PI) controller is employed to govern the voltage of rectifier. Besides, the Modified High Gain Zeta-KY converter is employed to strengthen the poor output voltage of PV panel with maximum efficiency and reduced current ripples. With the application of cascaded ANFIS controller, the converter effectiveness enlarged with constant DC link voltage. The DC link voltage is transmitted to an isolated battery converter for EV battery charging. The surplus power produced from hybrid renewable energy sources is fed into the grid and used throughout high-demand periods. For controlling the inverter, a PI controller is used, supplemented by a cascaded ANFIS for increased grid-side control. In conclusion, the hybrid PV-DFIG WES with an optimized control strategy offers a promising solution for ultrafast EV battery charging with a maximum tracking efficiency of 98.72%. Finally, the entire proposed system validated through MATLAB/Simulink Platform to verify its effectiveness and reliability.

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Authors and Affiliations

  1. Department of Electrical Engineering, Sanjay Ghodawat University, Atigre, Kolhapur, Maharashtra, 416118, India

    Nilam Patil & Rajin M. Linus

  2. Department of Electrical Engineering, Padmabhooshan Vasantraodada Patil Institute of Technology, Budhgaon, Sangli, 416304, India

    Nilam Patil

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  1. Nilam Patil
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Contributions

Conceptualization was performed by NP, data curation was carried out by NP, methodology provided by RML and NP, Project administration was approved by RML, supervision was done by RML, validation was presented by RML, writing—original draft was prepared by NP, writing—review and editing were revised by RML and NP.

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Correspondence to Nilam Patil.

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Patil, N., Linus, R.M. Optimal synergetic control using chaotic dragon fly-based MPPT with cascaded ANFIS method for ultrafast electric vehicle charging by hybrid RES systems. Electr Eng (2024). https://doi.org/10.1007/s00202-024-02447-z

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