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Research On Optimization Model Of Electric Vehicle Charging And Swapping Supply Chain Under Photovoltaic Power-Energy Storage-Charging Environment

Posted on:2022-05-01Degree:MasterType:Thesis
Country:ChinaCandidate:Z Z WangFull Text:PDF
GTID:2492306338460594Subject:Master of Engineering
Abstract/Summary:PDF Full Text Request
With the proposal of carbon peak and carbon neutralization in the 14th five-year plan,the development of clean energy has entered a new period.With the support of China’s policies,the scale of photovoltaic power generation in China is expanding,and the utilization rate is also gradually improving.However,PV generation still has serious problems of light and energy abandonment.In order to solve the problem of energy abandonment in PV power generation,improve energy utilization and promote the long-term development of PV industry,it is very necessary to build PV power-energy storage-charging power station.The continuous maturity of various technologies of electric vehicles has also continuously promoted the participation of electric vehicles in the construction of the supply chain,and has formed an EV charging supply chain under PV power-energy storage-charging environment.EV charging and swapping supply chain photovoltaic power-energy storage-charging environment refers to the transportation and distribution activities of mobile power from the integrated PV energy storage and charging station to fixed power station,then to users,and finally back to the integrated PV energy storage and charging station with the help of logistics service provider.The optimization of electric vehicle charging and swapping supply chain helps to reduce the development cost of supply chain,improve the overall efficiency of supply chain,then realize the value-added of supply chain.Therefore,from the perspective of the sustainable development of the whole supply chain,this paper analyzes the charging and swapping supply chain of EVs under photovoltaic power-energy storage-charging environment,and systematically studies the site selection of photovoltaic power-energy storage-charging power station,the optimization of the logistics node enterprises of the electric vehicle charging and swapping supply chain,and the emergency distribution path of mobile power supply,which has important theoretical and practical significance.Firstly,on the basis of expounding the relevant theories,the paper analyzes the development status and existing problems of photovoltaic power-energy storage-charging related industries,constructs the electric vehicle charging and swapping supply chain under photovoltaic power-energy storage-charging environment,and defines the connotation of the supply chain;Secondly,a decision-making index system based on 17 secondary indicators in 6 dimensions including geographical conditions,economic conditions,environmental conditions,boundary conditions,local policies and supply chain collaborationfor photovoltaic power-energy storage-charging power station was constructed.On this basis,the second type of interval was used.On this basis,the interval type-2 fuzzy AHP-TOPSIS method is used to optimize the site selection of power station,and the effectiveness of the model is verified by an example;Thirdly,based on the needs of EV charging and swapping supply chain construction and the particularity of mobile power supply,the distribution activities of each node of mobile power supply are carried out with the help of professional logistics service providers.A decision-making standard system with 4 dimensions and 17 secondary indicators is constructed,uses the optimization model to determine the weight of the criteria,simulates the setting of candidate enterprise data,and uses the grey cumulative prospect theory to select the best logistics node enterprise,then verifies the rationality and effectiveness of the model through an example;Finally,considering that the EV may be unable to reach the charging station due to insufficient power or battery failure,an adaptive NSGA-Ⅱ multi-objective optimization algorithm is proposed to optimize the emergency distribution path of mobile power supply,the model is simulated and solved by MATLAB.The site selection of PV storage and charging station,optimization of logistics node enterprises and optimization of emergency distribution path of mobile power supply are the key problems in the construction of EV charging and swapping supply chain.The research and discussion of this problem aims to provide useful reference for the actual construction of EV charging and swapping supply chain and the further promotion of EV charging and swapping mode.
Keywords/Search Tags:EV charging and swapping supply chain, Photovoltaic Power-Energy Storage-Charging Environment, Supply chain optimization, Interval two Fuzzy AHP-TOPSIS, Adaptive NSGA-Ⅱ
PDF Full Text Request
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