Research On Charging Station Layout Planning Based On Multi-objective Decision

With the issues of global environmental pollution and energy shortage becoming more and more prominent,new-energy vehicles have received extensive attention as a means of energy conservation and emission reduction,the development and promotion of which are not only significant solution to the problems concerning national energy security and environmental governance,but also breakthroughs leading to a new round of economic growth in the automotive industry and the fundamental way to complete the transformation of transportation energy.To this end,the world's major economic entities are actively making policies to promote the development of new-energy vehicles.However,the implementation process faces many challenges.Almost in every country,the market performance and practical application are not satisfactory.The immaturity of the battery and charging technology is one thing,and the lack of supporting charging infrastructure is another prominent constraint.In the early stage of the promotion of new-energy vehicles,increasing the supply of charging services,improving the convenience of charging,and improving the quality of charging services can effectively alleviate the “mileage anxiety” of consumers,which increase the enthusiasm of consumers to adopt new-energy vehicles,and accelerate the promotion and diffusion of new-energy vehicles.However,at present,there are still problems such as high investment cost,unreasonable layout,and long queue time for users in the construction of charging facilities.In view of this,this paper takes the construction of charging facilities as the starting point,focusing on the significance and current situation of charging infrastructure.The paper aims to construct a dual-objective programming model of charging station in consideration of government subsidies and cost-differential,and to design different solving strategies and corresponding algorithms.The effectiveness of the model and planning method is verified by an example application.The main research work of this paper is as follows:(1)Construct a dual target model for charging station layout planning.The charging methods,infrastructure construction and operation modes are summarized.The key influencing factors of charging station planning are analyzed.The charging demand forecasting ideas are put forward.On this basis,considering the investors and users' demands,taking the minimum cost of the investor and the highest user satisfaction as the objective function,considering the site cost differentiation and government subsidies,the dual targets of the urban regional new energy vehicle public fast charging station are established.Planning model.(2)Adopting two different solving strategies and desgining corresponding algorithms.Two different solving strategies based on preference,“first decision,post search” and non-preferred “first search and post decision” are adopted to improve the flexibility of decision making.Combined with the idea of cloud model,improved parallel genetic algorithm and NSGA are designed respectively.The-II algorithm solves the model,overcomes the shortcomings of traditional genetic algorithm and NSGA-II algorithm,and gives specific solution steps.(3)Using empirical research,the models and algorithms have been applied in practice.Taking the planning and layout of the fast charging station in the urban functional core area of Chongqing as an example,and based on the grey prediction method to predict the charging demand of the area,the model is solved with the help of Python software programming,and the planning scheme in regard to the public fast charging in the planning area is also given for the decision makers,attaching with detailed analysis on the two solving strategies and corresponding results.