Optimization Strategy for Electricity Allocation of Electric Vehicle Aggregator Under Demand Response Mechanism

doi:10.16628/j.cnki.2095-8188.2025.10.006

Abstract

Abstract:

A response electricity allocation optimization strategy is proposed for the capacity allocation problem of electric vehicle aggregators of different scales participating in the electricity market demand response.Firstly, the Monte Carlo simulation method is used to construct an electric vehicle aggregator capacity prediction model.Then, an electricity price negotiation mechanism is established between electric vehicle aggregators and distribution network operators.Finally, based on the replicator dynamics theory of evolutionary game theory, a response electricity allocation strategy model for distribution network operators to various aggregators is constructed.The simulation results show that the proposed strategy can reasonably allocate demand response electricity based on the actual capacity of each aggregator, significantly reduce power grid load fluctuations, and improve the operational stability of power system.

Key words: electric vehicle aggregator, demand response, evolutionary game theory, response to electricity allocation

CLC Number:

TM731

LIU Enming, WANG Juanjuan. Optimization Strategy for Electricity Allocation of Electric Vehicle Aggregator Under Demand Response Mechanism[J]. LOW VOLTAGE APPARATUS, 2025, 0(10): 42-47.

Figures/Tables 8

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EVA代理商类型	type_EVA范围
底气不足型	type_EVA≤0.8
折中型	0.8<type_EVA<1.2
底气充足型	type_EVA≥1.2

参数	数值
荷电状态可调范围	0.3~0.9
EV电池容量/kWh	60
电动汽车充电效率	0.90
电动汽车放电效率	0.85
电动汽车充电功率/kW	7
电动汽车放电功率/kW	6

聚合商	EV规模/辆	type_EVA	k	${P}_{h,j}^{min}$	${P}_{h,j}^{max}$
EVA1	300	0.6	0.5	1.491	2.0
EVA2	500	1.0	1.0	1.491	2.5
EVA3	1 000	2.0	2.0	1.491	3.0