Scholarlink

PV is Susceptible for different dynamic condition, that should progressively relevant with the expanding global demand for solar power. It presents a PV battery charging station capable of balancing both separate and entire battery charging times by first equalizing the state of charge (SOC) levels and later charging multiple batteries in parallel. The system integrates a Hybrid Improved Rat Swarm Optimization (IRSO) algorithm and a Fuzzy Logic Controller (FLC) for Maximum Power Point Tracking (MPPT) to improve power origin from the PV arrangement. A feedback voltage control strategy ensures a constant DC bus voltage for both fixed and electric vehicle (EV) batteries. To intensify energy management, a Hybrid IRSO-Fuzzy-located plan is executed in a solar which stimulate EV Charging station and it is tested by utilizing a SEPIC converter with an average following period of less than one second. The hybrid MPPT controller receives two inputs PV potential and the SOC of the fixed battery to produce a current reference signal for grid inverter control. Simulation results illustrate the system's effectiveness under variable irradiance and SOC environments, showing productive power management through a Hybrid IRSO- FUZZY based approach in a solar PV-powered EV charging station in MATLAB/SIMULINK.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Hybrid Improved Rat Swarm Optimization-Fuzzy Logic Controller Based Energy Management in PV Powered EV Charging Under Dynamic Condition

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • B. Paranthagan,
  • M. Marimuthu,
  • S. Anu Thilak,
  • H. P. Harish,
  • S. Ariharan,
  • S. Dhasvanth,
  • S. Elavarasan

摘要

PV is Susceptible for different dynamic condition, that should progressively relevant with the expanding global demand for solar power. It presents a PV battery charging station capable of balancing both separate and entire battery charging times by first equalizing the state of charge (SOC) levels and later charging multiple batteries in parallel. The system integrates a Hybrid Improved Rat Swarm Optimization (IRSO) algorithm and a Fuzzy Logic Controller (FLC) for Maximum Power Point Tracking (MPPT) to improve power origin from the PV arrangement. A feedback voltage control strategy ensures a constant DC bus voltage for both fixed and electric vehicle (EV) batteries. To intensify energy management, a Hybrid IRSO-Fuzzy-located plan is executed in a solar which stimulate EV Charging station and it is tested by utilizing a SEPIC converter with an average following period of less than one second. The hybrid MPPT controller receives two inputs PV potential and the SOC of the fixed battery to produce a current reference signal for grid inverter control. Simulation results illustrate the system's effectiveness under variable irradiance and SOC environments, showing productive power management through a Hybrid IRSO- FUZZY based approach in a solar PV-powered EV charging station in MATLAB/SIMULINK.