Next-Generation Electrical Engineering: Power Quality Enhancement, E-Vehicle Integration, and Future Grids

Enhancing efficiency and power quality (PQ) in electric vehicle (EV)
charging systems depends on power factor correction (PFC) interleaved boost
converters (IBC). Traditional methods to assess current ripple produce
misleading results which leads to decreased system performance and increased
power losses. This research presents the Crested Porcupine Optimizer (CPO)
as a novel solution for intelligent current ripple estimation in electric vehicle
charging systems to overcome existing method limitations. The main goal
consists of minimizing ripple formation while also reducing Total Harmonic
Distortions (THD). The Proportional-Integral (PI) controller gain parameter
optimization occurs through CPO processing which raises the converter
performance standards. The proposed solution implemented on MATLAB
while evaluated performance with Artificial Neural Network (ANN) and Bald
Eagle Search Optimization (BESO) and Long Short-Term Memory (LSTM).
Results show the CPO approach delivers THD at 0.99% which supports
effective harmonic suppression to enhance PQ for EV chargers. The
evaluation demonstrates that CPO successfully enhances the current ripple
estimation capability to improve PFC IBC system operations in EV charging
applications.