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Electric Vehicle Charging Station (EVCS) can be more promising if it is handled properly with reactive power compensating units. Due to the random EV fleet, real and reactive power flow become of fluctuating nature. Fixed capacitor as static compensator cannot attend to such dynamic changes of reactive power, and so, dynamic compensator is suggested. Distribution static compensator (D-STATCOM) is found to be the most suitable dynamic compensator for such applications. In the present study, D-STATCOM is modeled with current controller scheme and LCL filter design. The parameters are evaluated using conventional approach and then unified approach is presented using Genetic Algorithm to estimate gain constants and filter parameters for D-STATCOM. Results of GA approach with conventional approach are compared to validate the proposed study of the paper.

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Optimizing D-STATCOM Performance for EVCS: A Unified Approach with Genetic Algorithm-Tuned Current Controller and Filter Design

  • 会议论文

  • 发表日期：

    2025年

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  • Nitin Kumar Saxena,
  • David Wenzhong Gao,
  • Ashwani Kumar

摘要

Electric Vehicle Charging Station (EVCS) can be more promising if it is handled properly with reactive power compensating units. Due to the random EV fleet, real and reactive power flow become of fluctuating nature. Fixed capacitor as static compensator cannot attend to such dynamic changes of reactive power, and so, dynamic compensator is suggested. Distribution static compensator (D-STATCOM) is found to be the most suitable dynamic compensator for such applications. In the present study, D-STATCOM is modeled with current controller scheme and LCL filter design. The parameters are evaluated using conventional approach and then unified approach is presented using Genetic Algorithm to estimate gain constants and filter parameters for D-STATCOM. Results of GA approach with conventional approach are compared to validate the proposed study of the paper.