Research On Resource Allocation Of Power Station In Service Mode Of Demand Point

Nowadays,energy shortage and environmental issues have been concerned all the time with the progress of the society.In order to alleviate the energy crisis and reduce pollution,a series of policies have been implemented to adjust the energy structure and change the industrial development strategies in China.Besides,the government has taken some measures to guide some industries to reform and make them become less dependent on fossil energy,including steel,oil automobile and so on.Particularly,the problems of energy consumption and environmental pollution are rather serious in automobile industry and the government pays more attention to its reform.It has constructed a series of policies to propel the transformation and upgrading of the automobile industry that could help to reduce the dependence on importing oil and improve the bad situation of resources and environment.Popularizing electric vehicles plays an important role in the process of upgrading automobile industry for their advantages,including noiseless and environmental protection.They have been applied in different fields in twenty-five cities,such as public transportation,leasing,public service,municipal administration and postal service.The charging problem has seriously restricted the promotion and development of electric vehicles,which led to its slow progress under the strong policy support.Optimizing the configuration of charging station resources can effectively solve the charging problem,and it is also the premise to ensure the healthy growth and achieve the large-scale,marketization of electric vehicles.This paper is divided into four parts:(1)The research on service mode of electric vehicles' power charging/changing station divides the service mode into to-station and to-point.Also the characteristics and application scenarios of different modes are analyzed;(2)Battery demand forecasting under to-point service mode.Combining with considering the characteristics of users' distribution,the gray forecasting model is established to predict the ownership of electric vehicles within the service coverage,and then the battery demand is predicted by using the functional relationship between the car ownership and the battery demand;(3)Location selection of power station under to-point service mode.The multi-objective programming function is constructed,and the penalty cost is introduced to minimize the service cost and maximize the customer satisfaction in the location selection;(4)Construction of resource pool for power station under to-point service mode.This part establishes the entry and exit model and designs the dynamic selection mechanism of battery suppliers based on the profit field.Additionally,the trigger point of the entry and exit is set to describe the dynamic evolution of the battery supplier and the power station resource pool.The paper puts forward the to-point mode of power station which is user-centered and oriented by the demands of users.The demand of the battery in the coverage area is predicted based on the gray forecasting model.And on this basis,the multi-objective programming function is constructed to realize the location selection of minimizing the cost and maximizing the satisfaction.Moreover,the paper builds a profit field model and selects the appropriate battery suppliers to build the battery resource pools,in order to guarantee the user's dynamic demand of the battery for the electric vehicle.Therefore,the research on the allocation of power station resources can effectively solve the problem of power supply with electric vehicle,and provide some reference and guidance for the theoretical research and application of electric vehicles.