| With the popularization of electric vehicles and hydrogen fuel vehicles,electricity and hydrogen production still rely heavily on fossil energy sources,which poses a huge challenge for decarbonization process in the transport sector,so establishing an ecofriendly and economic-affordable fuel supply system turns out to be critical to the sustainable development of future transport systems.In engineering practice,one of the important solutions to achieve the above goals is to establish the link between electric vehicle charging and discharging facilities,hydrogen fule vehicle refueling stations and micro-energy grids with renewable energy sources.In the micro-energy network environment,the organic integration of new energy vehicles and renewable energy sources can help promote the local consumption of renewable energy sources,and improve the economic and environmental benefits of the operation.To this end,this paper carried out the following aspects of work:First of all,a integrated resource planning framework of the electric-hydrogen micro-energy network with new energy vehicle sharing stations is proposed.Based on the supply-demand side,integrated resource collaborative planning is carried out to promote the low-carbon transformation of renewable energy sources in the energy and transportation fields.The model is a two-stage mixed interval-stochastic programming,in which the first stage aims to determine the optimal configuration planning to minimize the investment cost,and the second stage aims to determine the optimal operation simulation of the system to maximize the expected benefits.Secondly,this paper focuses on the potential flexibility of vehicular demands in response to the rental price and uses evolutionary game method to realize modeling.Considering the multi-vehicle joint operation characteristics between electric vehicle and hydrogen fuel vehicle,a user travel guidance scheme based on the lease price is introduced.Considering the user’s bounded rationality and learning ability under the vehicle rental service,long-term preference modeling of users’ multi vehicle choice is carried out based on the evolutionary game.Different from guiding users’ demand response to change short-term energy use behavior in the past,this paper guides users’long-term preferences by optimizing leasing prices to better balance operation benefits and environmental benefits at the same time.Through this,the substitutability between different vehicle demands and its impact on the long-term planning of electrichydrogen integrated energy system can be properly captured.Thirdly,considering the heterogeneity of various uncertainty parameter data sources such as renewable energy sources output and users’ travel demand in the planning process,this paper combined interval optimization technology and stochastic optimization technology to propose a new hybrid modeling method to deal with the complex uncertainties caused by the interaction between discrete intervals and probability distributions,wherein the scenario analysis,the interval order relation and the fuzzy preference methods are jointly utilized.Different types of uncertainties can be normalized and systematically treated under the same framework through the above method.Finally,a simulation analysis is carried out based on the actual data of a community in Beijing.The simulation results show that,compared with conventional independent planning method,there could be an improvement in the carbon emission reduction by 24.74%and an additional cost saving of 11.97%achievable using the proposed approach.In addition,the research results also show that multi-vehicle joint operation is of great significance to improve the flexibility of the system,which can effectively improve the utilization rate of renewable energy sources in the system,thus achieving considerable low-carbon benefits in both energy and transportation fields. |
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