Optimization and Scheduling Strategy for Regional Multi-dimensional Charging of Electric Vehicles Based on Compensation Mechanism

doi:10.11930/j.issn.1004-9649.202404112

Abstract

Abstract:

To improve the power supply service provider’s economic efficiency and user’s satisfaction under the background of electric vehicle (EV) charging-disorder in varied charging settings, this paper proposes a compensation-based optimization and scheduling strategy for regional multi-dimensional charging of electric vehicles. Firstly, clusters are formed based on energy consumption patterns and temporal flexibility, and a compensation perception model is established based on charging compensation and time pressure. A user satisfaction model and a regret theory-based user charging decision model are developed with consideration of charging cost, time and quantity of users. And then, a daily rolling energy replenishment model is established for batteries at BCSS. Finally, an optimization scheduling model is created to optimize the charging compensation for maximizing the provider’s revenue and minimizing the regional consumption imbalances. The proposed strategy, verified through Matlab simulation, boosts the power supply service provider’s revenue and slashs the regional consumption deviation, while maintaining the user’s satisfaction with the charging solution.

Key words: regional multi-dimensional charging, regret theory, charging compensation, user satisfaction, multi-objective optimization

YUAN Jianhua, ZHANG Tianyu, CHEN Guangsheng, HUANG Tao. Optimization and Scheduling Strategy for Regional Multi-dimensional Charging of Electric Vehicles Based on Compensation Mechanism[J]. Electric Power, 2025, 58(4): 119-130.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202404112

https://www.electricpower.com.cn/EN/Y2025/V58/I4/119

Figures/Tables 17

References 22

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参数名称	数值	参数名称	数值
$ \kappa {\text{/(kW}} \cdot {\text{k}}{{\text{m}}^{{{ - 1}}}}) $	0.15	${\nu ^{\text{T}}}/(\rm r \cdot \min{^{ - 1}})$	0.4
$ {v^{{\text{ave}}}}{\text{/(km}} \cdot {{\text{h}}^{ - 1}}{\text{)}} $	40	$\nu _{^{\text{1}}}^{\text{S}}/(\rm r \cdot \min{^{ - 1}})$	–0.96
$ {Q^{{\text{ed}}}}/\rm kW $	60	$\nu _{^2}^{\text{S}}/(\rm r \cdot \min{^{ - 1}})$	–1.522
$ {P^{{\text{cha}}}}/(\rm kW \cdot h) $	40	$ {\omega _{\text{1}}} $	0.3
$ {P^{{\text{SW}}}}/(\rm kW \cdot h) $	50	$ {\omega _{\text{2}}} $	0.4
$ {a^{{\text{chaxl}}}} $	0.9	$ {\omega _{\text{3}}} $	0.3
$ {a^{{\text{swxl}}}} $	0.9	$ {Q^{\min }}/\rm kW $	57
$ {t^{{\text{sw}}}}/\min $	5-10	$ {Q^{\max }}/{\text{kW}} $	12
$ t_{i,l}^{{\text{zb}}}/\min $	5-10	$ {N^{{\text{dz}}}} $	3
$ v $	0.6	$ \theta $	0.1
$ t_i^{\rm kx}/\min $	30-90	$ {\kappa _1} $	0.5
$ \Delta t{\text{/min}} $	15	$ {\kappa _0} $	0.3

参数名称	数值	参数名称	数值
$ \kappa {\text{/(kW}} \cdot {\text{k}}{{\text{m}}^{{{ - 1}}}}) $	0.15	${\nu ^{\text{T}}}/(\rm r \cdot \min{^{ - 1}})$	0.4
$ {v^{{\text{ave}}}}{\text{/(km}} \cdot {{\text{h}}^{ - 1}}{\text{)}} $	40	$\nu _{^{\text{1}}}^{\text{S}}/(\rm r \cdot \min{^{ - 1}})$	–0.96
$ {Q^{{\text{ed}}}}/\rm kW $	60	$\nu _{^2}^{\text{S}}/(\rm r \cdot \min{^{ - 1}})$	–1.522
$ {P^{{\text{cha}}}}/(\rm kW \cdot h) $	40	$ {\omega _{\text{1}}} $	0.3
$ {P^{{\text{SW}}}}/(\rm kW \cdot h) $	50	$ {\omega _{\text{2}}} $	0.4
$ {a^{{\text{chaxl}}}} $	0.9	$ {\omega _{\text{3}}} $	0.3
$ {a^{{\text{swxl}}}} $	0.9	$ {Q^{\min }}/\rm kW $	57
$ {t^{{\text{sw}}}}/\min $	5-10	$ {Q^{\max }}/{\text{kW}} $	12
$ t_{i,l}^{{\text{zb}}}/\min $	5-10	$ {N^{{\text{dz}}}} $	3
$ v $	0.6	$ \theta $	0.1
$ t_i^{\rm kx}/\min $	30-90	$ {\kappa _1} $	0.5
$ \Delta t{\text{/min}} $	15	$ {\kappa _0} $	0.3

项目	峰	平	谷
项目	08:00—12:00 17:00—21:00	12:00—17:00 21:00—24:00	00:00-8:00
快充电价	1.532	0.831	0.534
换电电价	2.080	2.080	2.080
DER 电价	0.430	0.300	0.180
购电电价	0.630	0.410	0.300

项目	峰	平	谷
项目	08:00—12:00 17:00—21:00	12:00—17:00 21:00—24:00	00:00-8:00
快充电价	1.532	0.831	0.534
换电电价	2.080	2.080	2.080
DER 电价	0.430	0.300	0.180
购电电价	0.630	0.410	0.300

策略	消纳水平偏差	策略	消纳水平偏差
对比策略1	0.3907	对比策略3	0.3112
对比策略2	0.2317	本文策略	0.2207