As a key link in the transportation low-carbon transition, electric vehicle (EV) charging behavior challenges urban power grid operation, especially in areas with complex traffic and weak grids where charging load volatility intensifies pressure. This study took Dalinghao Bay as the research area, collected 15-min granularity charging load data from 6 typical blocks, and analyzed data from a workday and a non-workday. By constructing load characteristic profiles and calculating complementary indicators (Pearson Correlation Coefficient, Load Overlap Index, Peak-Valley Shift Degree), it revealed distinct temporal rules of charging loads across block types and confirmed significant complementary potential between different functional areas.

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Construction of Charging Load Profiles and Analysis of Complementary Characteristics for Regions with Complex Traffic and Weak Power Grids

  • Lingyu Guo,
  • Yang Du,
  • Shuze Du,
  • Yun Zhou

摘要

As a key link in the transportation low-carbon transition, electric vehicle (EV) charging behavior challenges urban power grid operation, especially in areas with complex traffic and weak grids where charging load volatility intensifies pressure. This study took Dalinghao Bay as the research area, collected 15-min granularity charging load data from 6 typical blocks, and analyzed data from a workday and a non-workday. By constructing load characteristic profiles and calculating complementary indicators (Pearson Correlation Coefficient, Load Overlap Index, Peak-Valley Shift Degree), it revealed distinct temporal rules of charging loads across block types and confirmed significant complementary potential between different functional areas.