徐艳春, 李思佳, 张涛, MILu. 计及电力系统承受能力的含超快充电动汽车并网运行风险评估[J]. 电网技术, 2025, 49(1): 187-197. DOI: 10.13335/j.1000-3673.pst.2023.2010
引用本文: 徐艳春, 李思佳, 张涛, MILu. 计及电力系统承受能力的含超快充电动汽车并网运行风险评估[J]. 电网技术, 2025, 49(1): 187-197. DOI: 10.13335/j.1000-3673.pst.2023.2010
XU Yanchun, LI Sijia, ZHANG Tao, MI Lu. Operation Risk Analysis of Electric Vehicle With Ultra-fast Charging Integrated to Distribution Network Considering the Bearing Capacity of Power System[J]. Power System Technology, 2025, 49(1): 187-197. DOI: 10.13335/j.1000-3673.pst.2023.2010
Citation: XU Yanchun, LI Sijia, ZHANG Tao, MI Lu. Operation Risk Analysis of Electric Vehicle With Ultra-fast Charging Integrated to Distribution Network Considering the Bearing Capacity of Power System[J]. Power System Technology, 2025, 49(1): 187-197. DOI: 10.13335/j.1000-3673.pst.2023.2010

计及电力系统承受能力的含超快充电动汽车并网运行风险评估

Operation Risk Analysis of Electric Vehicle With Ultra-fast Charging Integrated to Distribution Network Considering the Bearing Capacity of Power System

  • 摘要: 目前分布式电源和含超快充的电动汽车接入配电网会增大电力系统的运行风险。针对现有风险评估指标未能有效考虑电网承受能力的问题,提出一种计及电力系统承受能力的配电网风险评估综合指标。首先,构建分布式电源出力模型和含超快充的电动汽车负荷模型;然后,采用以分布熵理论为基础的指标度量电压、功率等状态变量越限及其分布不确定性带来的风险,引入以泰尔熵理论为基础的指标度量系统受到负荷冲击后状态变量增量分布的不均衡度带来的风险,将上述指标通过序关系法与客观赋权法相结合的权重分析法进行综合以全面评估系统风险;最后,以IEEE 33节点系统进行测试,验证了综合指标的合理性。结果表明所提综合指标可有效评估系统未发生越限时的潜在风险,且电动汽车的超快充会改变综合风险的时序分布特点。研究结果可为含超快充的电动汽车接入配电网的安全运行提供理论指导。

     

    Abstract: At present, the access of distributed generation and electric vehicles with ultra-fast charging to the distribution network will increase the operational risk of the system. Aiming at the problem that the existing risk assessment indicators fail to consider the system capacity effectively, this paper proposed a comprehensive index of risk assessment of distribution networks considering the power system's capacity. The distributed generation output model and the electric vehicle load model with ultra-fast charging were first constructed. Then, the index based on the distribution entropy theory was used to measure the risk caused by the over-limit of state variables such as voltage and power and the uncertainty of their distribution. The index based on the Theil entropy theory was introduced to measure the risk caused by the equilibrium degree of the incremental distribution of state variables after the load impacted the system. The weight analysis method combining the order relationship method and the objective weighting method was used to evaluate the system risk comprehensively. Finally, the rationality of the comprehensive index was calculated and analyzed by testing the IEEE 33-node system. The results show that the comprehensive index proposed can effectively evaluate the potential risk when the system does not exceed the limit and consider that the ultra-fast charging of electric vehicles will change the time series distribution characteristics of comprehensive risk. The research in this paper can provide theoretical guidance for the safe operation of electric vehicles. with ultra-fast charging connected to the distribution network.

     

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