首页|考虑活动-出行需求特性的大规模电动汽车入网影响力分析

考虑活动-出行需求特性的大规模电动汽车入网影响力分析

扫码查看
分析电动汽车(electric vehicle,EV)用户充电需求的复杂性及其作用规律是提高大规模EV入网情境下配电网络鲁棒性与韧性的基础工作,但现有研究较少关注EV用户充电需求的派生性.首先从充电需求产生的本源出发,基于EV用户活动-出行时空轨迹建立交通-电力耦合网络模型以揭示EV在交通-电力耦合系统的媒介机制.然后从交通侧考虑EV用户活动及出行行为特性建立活动-出行链模型,并基于Logit模型预测EV充电需求.从电网侧以电压偏移严重度、线路极限功率传输裕度以及电力系统线路损耗等指标构建了EV入网影响力评估体系.最后以交通-电力耦合度为调节变量分析了不同情境下不同区域EV充电负荷对电网的影响力,为引导EV用户在时空间维度有序充电的调度管理提供理论支撑.
Influences Analysis of Large-Scale Electric Vehicles Interconnected with Power System Regarding Activity-Travel Demand Characteristics
The analysis of the complexity of electric vehicle(EV)users′ charging demand and action law is the fundamental work to improve the robustness and resilience of distribution network in the context of large-scale EV integration.Existing researches made little efforts on the description of the derivative nature of EV charging demand.Firstly,starting from the origin of charging demand,a transportation power coupling network model is established based on the spatiotemporal trajectory of EV user activity travel to reveal the medium mechanism of EV in the transportation power coupling system.Secondly,from the perspective of transportation,an activ-ity travel chain model is established considering the characteristics of EV user activities and travel behavior,and EV charging demand is predicted based on the Logit model.A logit-based model is applied to predict EV charging demand.Then,from the perspective of the power grid,an evaluation system for the impact of EV grid connection is constructed based on indicators such as voltage offset severity,maximum power transmission margin of the line,and power system line losses.Finally,based on simulation,the influence of EV charging loads in different regions on the power grid under different scenarios is analyzed with the coupling degree of transportation and electricity as the regulating variable,providing theoretical support for guiding EV users to schedule and manage orderly charging in the temporal and spatial dimensions.

traffic-power coupled networkelectric vehicleactivity-travel demandcharging demandimpact assessment

孙志颖、李青、张凯

展开 >

南京信息工程大学自动化学院,南京 210044

南京信息工程大学管理工程学院,南京 210044

交通-电力耦合网络 电动汽车 活动-出行需求 充电需求 影响力评估

2024

南方电网技术
南方电网科学研究所有限责任公司

南方电网技术

CSTPCD北大核心
影响因子:1.42
ISSN:1674-0629
年,卷(期):2024.18(12)