LÜ Yuan, HE Yongxiu, WANG Kehui, SU Fengyu. Configuration Model of Electric Vehicle Charging Facilities Considering Demand Response[J]. Modern Electric Power, 2022, 39(4): 469-477. DOI: 10.19725/j.cnki.1007-2322.2021.0144
Citation: LÜ Yuan, HE Yongxiu, WANG Kehui, SU Fengyu. Configuration Model of Electric Vehicle Charging Facilities Considering Demand Response[J]. Modern Electric Power, 2022, 39(4): 469-477. DOI: 10.19725/j.cnki.1007-2322.2021.0144

Configuration Model of Electric Vehicle Charging Facilities Considering Demand Response

  • With the implementation of policies such as dual-carbon targets and new infrastructure construction, the number of electric vehicles has become an inevitable trend, and electric vehicle users will become one of the main players in demand response. In the process of participating in demand response, users will change the charging time and power of electric vehicles, which will bring about the temporal and spatial migration of charging load demand, and the original planning results of charging facilities are no longer applicable. This article considers the impact of price-based demand response and incentive-based demand response on the results of electric vehicle planning. First, from the user’s point of view, the charging behavior model of electric vehicles under different demand response modes is established with the lowest charging cost of users as the objective function, and electric vehicle demand response strategies under peak and valley electricity prices are proposed to predict the temporal and spatial distribution of charging demand. In the case of the site, from the perspective of investors, a charging facility planning model is established with the goal of maximizing the total profit of construction and operation, and the construction of the charging station and the scale of construction are planned. The calculation example plans the electric vehicle charging facilities without considering demand response, price-type demand response, and incentive-type demand response, and conducts sensitivity analysis on demand response participation and demand response price.
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