With the booming development of the electric vehicle industry, the access of a large number of electric vehicles to the power grid will have a profound impact on the power system. The disorderly charging behavior of large-scale electric vehicles will exacerbate the peak–valley load difference of the system, bringing potential risks to the stable operation of the power system. On the contrary, if we can effectively guide the orderly charging of electric vehicles, we can not only reduce the negative impact of the charging load on the power system but also play a positive role in shaving peaks and filling valleys and improve the system operating efficiency. This chapter focuses on the large number of electric private car groups, in-depth analysis of their charging behavior characteristics, and scheduling response psychology; constructs a hierarchical scheduling architecture; and fully exploits the scheduling potential of electric private cars through the incentive compensation mechanism to realize the optimal regulation of load. Based on the actual demand, this chapter effectively alleviates the impact of large-scale electric vehicle access to the power grid on the system, improves the social benefits, and has strong practical significance.

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Research on Electric Vehicle Scheduling Methods Considering the Uncertainty of Users’ Scheduling Willingness

  • Ran Lyu,
  • Mingxing Guo,
  • Li Lan,
  • Yong Zhang,
  • Su Wang,
  • Zikang Ding

摘要

With the booming development of the electric vehicle industry, the access of a large number of electric vehicles to the power grid will have a profound impact on the power system. The disorderly charging behavior of large-scale electric vehicles will exacerbate the peak–valley load difference of the system, bringing potential risks to the stable operation of the power system. On the contrary, if we can effectively guide the orderly charging of electric vehicles, we can not only reduce the negative impact of the charging load on the power system but also play a positive role in shaving peaks and filling valleys and improve the system operating efficiency. This chapter focuses on the large number of electric private car groups, in-depth analysis of their charging behavior characteristics, and scheduling response psychology; constructs a hierarchical scheduling architecture; and fully exploits the scheduling potential of electric private cars through the incentive compensation mechanism to realize the optimal regulation of load. Based on the actual demand, this chapter effectively alleviates the impact of large-scale electric vehicle access to the power grid on the system, improves the social benefits, and has strong practical significance.