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1.交直流智能配电网湖北省工程中心,湖北省武汉市 430072
2.武汉大学电气与自动化学院,湖北省武汉市 430072
3.国网湖北省电力有限公司电力科学研究院,湖北省武汉市 430077
吴赋章(1991—),男,博士,博士后,主要研究方向:电动汽车、新能源接入、电力市场。E-mail:wfzhang@whu.edu.cn
杨军(1977—),男,通信作者,博士,教授,博士生导师,主要研究方向:电力系统运行与控制、电动汽车、新能源接入。E-mail:JYang@whu.edu.cn
柯松(1996—),男,博士研究生,主要研究方向:电力系统运行与控制。E-mail:kesong1997@whu.edu.cn
收稿:2023-05-10,
修回:2023-10-21,
网络出版:2024-01-05,
纸质出版:2024-03-10
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吴赋章,杨军,柯松等.考虑电力-交通交互的配电网故障下电动汽车充电演化特性[J].电力系统自动化,2024,48(5):88-98.
WU Fuzhang,YANG Jun,KE Song,et al.Evolution Characteristics of Electric Vehicle Charging Under Distribution Network Faults Considering Interactions Between Power and Transportation[J].Automation of Electric Power Systems,2024,48(5):88-98.
吴赋章,杨军,柯松等.考虑电力-交通交互的配电网故障下电动汽车充电演化特性[J].电力系统自动化,2024,48(5):88-98. DOI: 10.7500/AEPS20230510001.
WU Fuzhang,YANG Jun,KE Song,et al.Evolution Characteristics of Electric Vehicle Charging Under Distribution Network Faults Considering Interactions Between Power and Transportation[J].Automation of Electric Power Systems,2024,48(5):88-98. DOI: 10.7500/AEPS20230510001.
由于配电网与交通网间的耦合交互作用,高渗透率电动汽车接入下的配电网故障可能对两网的运行产生扩大影响,厘清故障下电动汽车充电负荷对电网和交通网运行状态的影响以及充电站充电负荷分布是及时阻断故障影响的基础。针对此,提出了考虑电力-交通交互的配电网故障下充电特征演化分析方法。首先,考虑配电网故障下充电负荷变化对配电网的影响,提出了计及充电负荷变化灵敏度的变步长重复潮流模型以计算配电网最大供电能力。其次,结合用户有限理性决策和动态交通均衡,构建了配电网故障影响下的交通运行状态演化模型。进一步,以电动汽车出行和充电为耦合单元,基于改进的Davidson函数描述供电能力对充电行为的影响,建立了两网交互的作用关系。最后,仿真分析了考虑网络耦合的配电网故障下充电负荷演化规律及其影响。
The fault of distribution networks with high penetration of electric vehicles (EVs) may have an expanded impact on the operation of distribution networks and transportation networks due to the coupling interaction between the two types of networks. Clarifying the influence of EV charging load on the operation state of distribution networks and transportation networks and the charging load distribution of the charging station is the basis for timely preventing the fault influence. An evolution analysis method for charging characteristics under distribution network faults considering the interactions between power and transportation is proposed. Firstly
considering the influence of the charging load change on the distribution network under distribution network faults
a variable-step-size repeating power flow model considering the sensitivity of the charging load variation is proposed to calculate the total supply capability (TSC) of the distribution network. Secondly
an evolution model of traffic operation state under the fault influences of the distribution network is constructed by combining bounded rational decision-making of users and dynamic traffic equilibrium. Further
taking EV travelling and charging as a coupling unit
the influence of power supply capacity on charging behavior is described based on the improved Davidson function
and the interaction relationship between the two types of networks is established. Finally
the evolution law of charging load and its influence under distribution network faults considering network coupling are simulated and analyzed.
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