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<p>The progression in sustainable and efficient power generation has driven the incorporation of multiple Renewable Energy Sources (RESs) into grid connected infrastructures. This research proposes a novel hybrid energy system architecture combining Photovoltaic (PV) system, Doubly-Fed Induction Generator (DFIG)-based wind system and battery storage. A key component of this research is the utilization of an innovative Triple Gain Multiport (TGM) Converter, which utilizes input of DFIG, PV and battery to improve the voltage level. The system uses a Chaotic Dwarf Mongoose Optimized (CDMO) Proportional-Integral (PI) Controller for DC voltage control to improve dynamic performance and preserve system stability. Additionally, the architecture includes a bidirectional DC–DC converter interfacing with an Electric Vehicle (EV) battery system, allowing controlled charging and discharging operations. This subsystem is managed by a set of PI controllers that regulate voltage and current with reference tracking, enhancing grid-to-vehicle interactions. Furthermore, active and reactive power flow&#xa0;into the grid is controlled by a separate PI controller, guaranteeing grid code compliance and improving power quality. For instance, when there is power cut of from RES the EV battery gets powered using the grid system. Through simulation utilizing MATLAB settings, the proposed architecture is verified. According to simulation outcomes, proposed converter accomplishes improved efficiency 96% with minimal THD of 0.23%. Moreover the developed chaotic control approach guarantees a quicker settling time, minimizes overshoot with reduced error when compared to traditional techniques.</p>

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Implementation of triple gain multiport converter for EV charging with CDMO optimized control

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月1日

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  • S. Tamilselvan,
  • P. Vijayapriya

摘要

The progression in sustainable and efficient power generation has driven the incorporation of multiple Renewable Energy Sources (RESs) into grid connected infrastructures. This research proposes a novel hybrid energy system architecture combining Photovoltaic (PV) system, Doubly-Fed Induction Generator (DFIG)-based wind system and battery storage. A key component of this research is the utilization of an innovative Triple Gain Multiport (TGM) Converter, which utilizes input of DFIG, PV and battery to improve the voltage level. The system uses a Chaotic Dwarf Mongoose Optimized (CDMO) Proportional-Integral (PI) Controller for DC voltage control to improve dynamic performance and preserve system stability. Additionally, the architecture includes a bidirectional DC–DC converter interfacing with an Electric Vehicle (EV) battery system, allowing controlled charging and discharging operations. This subsystem is managed by a set of PI controllers that regulate voltage and current with reference tracking, enhancing grid-to-vehicle interactions. Furthermore, active and reactive power flow into the grid is controlled by a separate PI controller, guaranteeing grid code compliance and improving power quality. For instance, when there is power cut of from RES the EV battery gets powered using the grid system. Through simulation utilizing MATLAB settings, the proposed architecture is verified. According to simulation outcomes, proposed converter accomplishes improved efficiency 96% with minimal THD of 0.23%. Moreover the developed chaotic control approach guarantees a quicker settling time, minimizes overshoot with reduced error when compared to traditional techniques.