As the number of electric vehicles(EVs)continues to grow and the demand for charging infrastructure is also increasing,how to improve the charging infrastructure has become a bottleneck restricting the development of ...As the number of electric vehicles(EVs)continues to grow and the demand for charging infrastructure is also increasing,how to improve the charging infrastructure has become a bottleneck restricting the development of EVs.In other words,reasonably planning the location and capacity of charging stations is important for development of the EV industry and the safe and stable operation of the power system.Considering the construction and maintenance of the charging station,the distribution network loss of the charging station,and the economic loss on the user side of the EV,this paper takes the node and capacity of charging station planning as control variables and the minimum cost of system comprehensive planning as objective function,and thus proposes a location and capacity planning model for the EV charging station.Based on the problems of low efficiency and insufficient global optimization ability of the current algorithm,the simulated annealing immune particle swarm optimization algorithm(SA-IPSO)is adopted in this paper.The simulated annealing algorithm is used in the global update of the particle swarm optimization(PSO),and the immune mechanism is introduced to participate in the iterative update of the particles,so as to improve the speed and efficiency of PSO.Voronoi diagram is used to divide service area of the charging station,and a joint solution process of Voronoi diagram and SA-IPSO is proposed.By example analysis,the results show that the optimal solution corresponding to the optimisation method proposed in this paper has a low overall cost,while the average charging waiting time is only 1.8 min and the charging pile utilisation rate is 75.5%.The simulation comparison verifies that the improved algorithm improves the operational efficiency by 18.1%and basically does not fall into local convergence.展开更多
通过互联管线在多区域能源站间建立能源通路,可以实现不同区域间能源的互联协同与互补互济,提升系统整体的经济与环境效益。因此,首先在单一分布式能源站(distributed energy station,DES)模型的基础上,建立了考虑能量损耗的互联电力线...通过互联管线在多区域能源站间建立能源通路,可以实现不同区域间能源的互联协同与互补互济,提升系统整体的经济与环境效益。因此,首先在单一分布式能源站(distributed energy station,DES)模型的基础上,建立了考虑能量损耗的互联电力线路模型以及基于热能流的互联热力管道模型,并拓展了考虑互联协同的DES综合模型;其次,研究了一种基于改进P-中位模型的DES选址方法,得到了DES互联管线长度以及沿道路建设的最优路径;最后,基于混合整数线性规划建立了一种考虑多区域互联协同的DES设备配置及管线选型规划方法,实现了DES集成各类设备配置、DES间互联管线的选型规划与多区域系统整体运行优化,并通过算例验证了所提方法的合理性与可行性。展开更多
基金Key R&D Program of Tianjin,China(No.20YFYSGX00060).
文摘As the number of electric vehicles(EVs)continues to grow and the demand for charging infrastructure is also increasing,how to improve the charging infrastructure has become a bottleneck restricting the development of EVs.In other words,reasonably planning the location and capacity of charging stations is important for development of the EV industry and the safe and stable operation of the power system.Considering the construction and maintenance of the charging station,the distribution network loss of the charging station,and the economic loss on the user side of the EV,this paper takes the node and capacity of charging station planning as control variables and the minimum cost of system comprehensive planning as objective function,and thus proposes a location and capacity planning model for the EV charging station.Based on the problems of low efficiency and insufficient global optimization ability of the current algorithm,the simulated annealing immune particle swarm optimization algorithm(SA-IPSO)is adopted in this paper.The simulated annealing algorithm is used in the global update of the particle swarm optimization(PSO),and the immune mechanism is introduced to participate in the iterative update of the particles,so as to improve the speed and efficiency of PSO.Voronoi diagram is used to divide service area of the charging station,and a joint solution process of Voronoi diagram and SA-IPSO is proposed.By example analysis,the results show that the optimal solution corresponding to the optimisation method proposed in this paper has a low overall cost,while the average charging waiting time is only 1.8 min and the charging pile utilisation rate is 75.5%.The simulation comparison verifies that the improved algorithm improves the operational efficiency by 18.1%and basically does not fall into local convergence.
文摘通过互联管线在多区域能源站间建立能源通路,可以实现不同区域间能源的互联协同与互补互济,提升系统整体的经济与环境效益。因此,首先在单一分布式能源站(distributed energy station,DES)模型的基础上,建立了考虑能量损耗的互联电力线路模型以及基于热能流的互联热力管道模型,并拓展了考虑互联协同的DES综合模型;其次,研究了一种基于改进P-中位模型的DES选址方法,得到了DES互联管线长度以及沿道路建设的最优路径;最后,基于混合整数线性规划建立了一种考虑多区域互联协同的DES设备配置及管线选型规划方法,实现了DES集成各类设备配置、DES间互联管线的选型规划与多区域系统整体运行优化,并通过算例验证了所提方法的合理性与可行性。
