Optimal Equipment Configuration Method for Electric Vehicle Charging Stations Considering User Response Characteristics

doi:10.11930/j.issn.1004-9649.202409094

Abstract

Abstract:

The rapid development of electric vehicles (EVs) has brought a huge amount of potential demand-side power grid regulation resources, so it is urgent to rationally plan and configure the existing charging station equipment to meet the auxiliary service needs. Considering the strong randomness of users' charging behaviors, an optimal configuration method for EV charging stations based on user response characteristics is proposed. Firstly, considering the heterogeneous psychological weight of different users on time and price, the user satisfaction is calculated using Weber Fichner law, and then a user response characteristic model is constructed. Secondly, based on the response results of different types of users, a method for calculating the adjustable load boundary of charging stations is proposed. Finally, considering the benefits of the charging station participating in the auxiliary service, an optimal configuration model of charging stations is constructed and solved to maximize the comprehensive benefits. The simulation results show that the proposed method can accurately characterize the users' actual charging behavior decision and achieve the optimal configuration of the charging stations. thus effectively improving the comprehensive operating benefits of the charging stations, including the revenue from auxiliary services.

Key words: electric vehicle, user response characteristics, charging station optimization configuration

YAN Jun, LUO Yujie, YAN An, HE Wei, HAN Tao, YANG Jun. Optimal Equipment Configuration Method for Electric Vehicle Charging Stations Considering User Response Characteristics[J]. Electric Power, 2025, 58(4): 140-147.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202409094

https://www.electricpower.com.cn/EN/Y2025/V58/I4/140

Figures/Tables 12

References 24

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参数类型	充电桩功率/ kW	充电桩单价/ (万元·个^–1)	充电桩维护单价/ (万元·MW^–1)	储能安全电量上界/%	储能安全电量下界/%	市场准入功率/MW	运行年限/年	税率/%
参数值	120	3	0.9	90	15	5	10	20

参数类型	贴现率/%	储能最大安装容量/(MW·h)	放电倍率	储能初始电量/%	储能安装单价/ (万元·(MW·h)^–1)	储能维护单价/ (万元·MW^–1)	储能充电效率/%	充电桩充电效率/%
参数值	5	5	1.0	90	150	0.02	85	90

参数类型	充电桩功率/ kW	充电桩单价/ (万元·个^–1)	充电桩维护单价/ (万元·MW^–1)	储能安全电量上界/%	储能安全电量下界/%	市场准入功率/MW	运行年限/年	税率/%
参数值	120	3	0.9	90	15	5	10	20

参数类型	贴现率/%	储能最大安装容量/(MW·h)	放电倍率	储能初始电量/%	储能安装单价/ (万元·(MW·h)^–1)	储能维护单价/ (万元·MW^–1)	储能充电效率/%	充电桩充电效率/%
参数值	5	5	1.0	90	150	0.02	85	90

场景	充电桩数量/个	储能/ (MW·h)	总成本/ 万元	总收入/ 万元	总收益/万元
不考虑响应特性和配置优化	14		4 520.23	4 756.00	235.77
考虑响应特性和不考虑配置优化	14		4 362.83	4 875.17	512.34
考虑响应特性和配置优化	11	5	4 493.54	5 810.70	1 317.16

场景	固定成本/万元	储能维护成本/ 万元	购电成本/万元	辅助服务收益/ 万元	用户充电收益/ 万元	充电桩维护成本/万元
不考虑响应特性和配置优化	114.40		4 403.70		4 756.00	2.130 7
考虑响应特性和不考虑配置优化	114.40		4 246.30	247.37	4 627.80	2.130 7
考虑响应特性和配置优化	858.40	24.87	3 608.60	1 262.20	4 548.50	1.674 1

场景	充电桩数量/个	储能/ (MW·h)	总成本/ 万元	总收入/ 万元	总收益/万元
不考虑响应特性和配置优化	14		4 520.23	4 756.00	235.77
考虑响应特性和不考虑配置优化	14		4 362.83	4 875.17	512.34
考虑响应特性和配置优化	11	5	4 493.54	5 810.70	1 317.16

场景	固定成本/万元	储能维护成本/ 万元	购电成本/万元	辅助服务收益/ 万元	用户充电收益/ 万元	充电桩维护成本/万元
不考虑响应特性和配置优化	114.40		4 403.70		4 756.00	2.130 7
考虑响应特性和不考虑配置优化	114.40		4 246.30	247.37	4 627.80	2.130 7
考虑响应特性和配置优化	858.40	24.87	3 608.60	1 262.20	4 548.50	1.674 1

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