The traffic and user have significant impacts on the electric vehicle(EV)charging load but are not considered in the existing research.We propose a novel integrated simulation framework considering the traffic,the use...The traffic and user have significant impacts on the electric vehicle(EV)charging load but are not considered in the existing research.We propose a novel integrated simulation framework considering the traffic,the user,and power grid as well as the EV traveling,parking and charging based on cellular automaton(CA).The traffic is modeled by the traffic module of the proposed framework based on CA,while the power grid and user are modeled in the EV charging module.The traffic flow,user’s charging preference,user’s charging satisfaction,and the total supply capability(TSC)in the surveyed region are considered in the proposed framework.Two cases are carried out to show the interactions between the user and power grid.It is shown that the proposed framework can accurately simulate the interactions among traffic situation,user's behavior and TSC,which are significantly lacking in the existing research.The proposed framework is scalable in considering additional interrelated elements.展开更多
以年综合费用最小为目标函数,以多种主动管理约束、分布式电源(distributed generation,DG)投资限制和电气限制为约束条件,建立了主动配电网(active distribution network,ADN)中考虑需求侧管理和网络重构的DG规划模型。根据分解协调的...以年综合费用最小为目标函数,以多种主动管理约束、分布式电源(distributed generation,DG)投资限制和电气限制为约束条件,建立了主动配电网(active distribution network,ADN)中考虑需求侧管理和网络重构的DG规划模型。根据分解协调的思想,将模型转化为三层规划模型。针对模型的特点,提出了差分进化算法、树形结构编码的单亲遗传算法和原对偶内点法相结合的混合策略对模型进行求解。在61节点ADN上对规划模型和求解方法进行了仿真和验证,研究了需求侧管理和网络重构对规划结果的影响。展开更多
基金This work was supported by the National Natural Science Foundation of China(No.51936003).
文摘The traffic and user have significant impacts on the electric vehicle(EV)charging load but are not considered in the existing research.We propose a novel integrated simulation framework considering the traffic,the user,and power grid as well as the EV traveling,parking and charging based on cellular automaton(CA).The traffic is modeled by the traffic module of the proposed framework based on CA,while the power grid and user are modeled in the EV charging module.The traffic flow,user’s charging preference,user’s charging satisfaction,and the total supply capability(TSC)in the surveyed region are considered in the proposed framework.Two cases are carried out to show the interactions between the user and power grid.It is shown that the proposed framework can accurately simulate the interactions among traffic situation,user's behavior and TSC,which are significantly lacking in the existing research.The proposed framework is scalable in considering additional interrelated elements.
文摘以年综合费用最小为目标函数,以多种主动管理约束、分布式电源(distributed generation,DG)投资限制和电气限制为约束条件,建立了主动配电网(active distribution network,ADN)中考虑需求侧管理和网络重构的DG规划模型。根据分解协调的思想,将模型转化为三层规划模型。针对模型的特点,提出了差分进化算法、树形结构编码的单亲遗传算法和原对偶内点法相结合的混合策略对模型进行求解。在61节点ADN上对规划模型和求解方法进行了仿真和验证,研究了需求侧管理和网络重构对规划结果的影响。