A novel charging load coefficients identification method for residential charging stations based on measured data and mechanism model is proposed in this paper. Firstly, the current situation of charging load coefficients of residential charging piles is analyzed, and the importance to formulate reasonable charging load coefficients is illustrated, as well as the shortcomings of charging load coefficients formulation. Secondly, the measured charging load data of charging piles in a residential area is taken as an example to analyze the charging load characteristics. In the meantime, a mechanism model based on Monte Carlo simulation method is proposed to formulate a more reasonable charging load coefficients standard on the basis of the existing charging coefficients standard of charging piles in this residential area. The proposed method can improve the load ratio of charging stations and make a more scientific capacity setting of charging stations.

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A Novel Charging Load Coefficients Identification Method for Residential Charging Stations Based on Data-Driven and Mechanism-Driven Models

  • Zhenhua Xu,
  • Jinrui Tang,
  • Hui Hou,
  • Yunyu Cao

摘要

A novel charging load coefficients identification method for residential charging stations based on measured data and mechanism model is proposed in this paper. Firstly, the current situation of charging load coefficients of residential charging piles is analyzed, and the importance to formulate reasonable charging load coefficients is illustrated, as well as the shortcomings of charging load coefficients formulation. Secondly, the measured charging load data of charging piles in a residential area is taken as an example to analyze the charging load characteristics. In the meantime, a mechanism model based on Monte Carlo simulation method is proposed to formulate a more reasonable charging load coefficients standard on the basis of the existing charging coefficients standard of charging piles in this residential area. The proposed method can improve the load ratio of charging stations and make a more scientific capacity setting of charging stations.