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Capacity Coordinated Planning Of Expressway Swapping Station And Microgrid In Remote Areas

Posted on:2020-05-04Degree:MasterType:Thesis
Country:ChinaCandidate:X T LeiFull Text:PDF
GTID:2392330590473360Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Under the background of vigorously promoting clean energy power generation in China,electric vehicles(EVs)have also developed rapidly.However,most EVs are generated by thermal power,which indirectly causes environmental pollution.In order to realize the true “double cleaning” and make the popularization of EV more environmentally friendly,the development trend in the future will be the combination of the swapping station and the off-gird micro-network.In the initial stage of swapping station development,the capacity allocation of the microgrid is optimized through research and analysis of the operation strategy of the swapping station.This has value for the planning and construction of the swapping station.At present,China is striving to promote the concept of “green expressway”,and most of the green highways are built in areas with few residents and low power load.This provides a feasibility for combining EV swapping stations in remote areas with clean energy power generation.Make full use of the reserve battery in the swapping station to participate in the power adjustment of the micro-grid,which can achieve a win-win situation between the micro-grid environment and the economy.First,this paper establishes an EV power station model.According to the actual traffic data of expressways in remote areas,the single-day EV power-changing scene simulation was carried out,and the EV oneday power-changing demand under different weather types was obtained.Secondly,the power generation power forecast was carried out,and the wind turbine and photovoltaic panel configurations satisfying the EV power demand were preliminarily estimated.Finally,combined with the power-changing model of the swapping station,the particle swarm optimization(PSO)and quantum-behaved particle swarm optimization(QPSO)algorithm are used to optimize the capacity of the microgrid.By comparison,the QPSO algorithm is selected to study the pre-day operation strategy,real-time operation strategy and micro-grid storage capacity allocation.Through the analysis of the operation strategy of each working condition of the swapping station,the coordinated optimization ratio of the capacity of the swapping station and the microgrid in the remote area is obtained,and the operation income of the power station is calculated.Ensure that the power station can be profitable,improve the feasibility of the planning scheme of this paper.
Keywords/Search Tags:microgrid, electric vehicle, expressway in remote area, qpso, capacity allocation
PDF Full Text Request
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