首页|考虑路电耦合的电动汽车集群多时间尺度低碳协同调控策略

考虑路电耦合的电动汽车集群多时间尺度低碳协同调控策略

扫码查看
电动汽车(electric vehicle,EV)的大规模渗透为交通行业低碳化发展带来机遇,又为电网的安全稳定高效运行提出新的挑战.在路电耦合背景下,EV集群的充电负荷受多源不确定性因素影响,亟待研究如何计及影响因素充分利用EV的灵活性对其进行低碳协同优化.为此,提出了考虑路电耦合的EV集群多时间尺度低碳协同调控策略.首先提出了路电耦合网络低碳协同框架,建立了 EV集群多时间尺度低碳协同调控模型;然后基于Copula理论对路电耦合网络存在的多源不确定性及其交互影响进行建模,生成典型场景并求解基于场景的随机规划问题;最后通过算例验证了所提方法的有效性.
Multi-time Scale Decarbonization Coordination Strategy of Electric Vehicle Fleets Considering Transportation and Electricity Coupling
The large-scale integration of electric vehicles(EV)has promoted the decarbonization agenda of transportation sectors while also raising challenges for the stable,efficient operation of the power grid.In transportation-electricity coupling,multiple uncertain factors influence EV fleets'aggregate charging load.It should be investigated how to fully exploit EVs'flexibility for low-carbon optimization.Therefore,this article proposes a multi-time scale decarbonization coordination strategy for EV fleets considering transportation-electricity coupling.First,a decarbonization coordination framework is proposed.Then,a multi-time scale low-carbon coordination model for EV fleets is established.Furthermore,based on the Copula theory,the multiple uncertainties and their interaction are accurately modeled.Given typical scenarios,the problem is solved as scenario-based stochastic programming problems.Finally,the effectiveness of the proposed method is verified through numerical case studies.

transportation and electricity couplingelectric vehiclelow carbon optimizationmulti-time scale

袁泉、汤奕

展开 >

无锡学院自动化学院,江苏省 无锡市 214105

东南大学电气工程学院,江苏省南京市 210096

路电耦合 电动汽车 低碳优化 多时间尺度

2024

电网技术
国家电网公司

电网技术

CSTPCD北大核心
影响因子:2.821
ISSN:1000-3673
年,卷(期):2024.48(12)