To address the demand for green and clean energy consumption in transportation,a method for planning a green,resilient,self-contained,and sustainable highway-traffic self-contained microgrid system was proposed.Based on the endowment of wind and solar renewable resources within transportation infrastructure,initially,the architecture of a highway-traffic self-contained microgrid system was constructed around the renewable energy generation devices,energy storage devices,energy consumption loads,and the microgrid system within the spatial scope of highway transportation infrastructure.The architecture facilitated a synergistic integration of"source-grid-load-storage".Subsequently,based on varying regional characteristics,natural resource endowments,and power grid support conditions in China,the basic models of highway-traffic self-contained microgrid under three typical scenarios of Xizang,Jilin and Zhejiang were proposed.Building upon this,considering the factors such as the economic feasibility of microgrid construction and the renewable energy consumption rate within the microgrid,a system planning model was developed.The goal of the model was to minimize the average annual comprehensive cost of the microgrid,subject to the output constraints of various energy and storage devices and the power balance constraints within the microgrid.Finally,the particle swarm optimization algorithm was employed to optimize the capacity configuration of each energy device within the microgrid.To validate the global search capability and convergence characteristics of the particle swarm algorithm,and to reduce the random factors in the solving process,50 independent simulation experiments were conducted on the planning schemes for three typical scenarios.Research results indicate that the proposed model and solution method enable a highway-traffic self-contained microgrid system without major grid support to achieve a renewable energy self-contained rate of 99.95％through the coordinated operation of batteries and hydrogen energy storage,while the abandonment rate of wind and solar energy is only 1.34％.It demonstrates that a appropriate storage configuration can effectively mitigate the intermittency and variability of wind and solar outputs,ensure adjustability and reliability of the microgrid's power supply,and provide decision supports for the planning and design of China's highway-traffic self-contained microgrid system.5 tabs,6 figs,31 refs.
integration of transportation and energyhighway-traffic self-contained microgrid systemparticle swarm optimizationenergy demandmultiple scenariohydrogen energy storage
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