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Micro Network Configuration And Economic Dispatch Of Electric Vehicles In Linxia Scenic Spot

Posted on:2021-05-27Degree:MasterType:Thesis
Country:ChinaCandidate:J Y YangFull Text:PDF
GTID:2392330623983755Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
The level of economic development in Linxia area of Gansu Province is backward.According to preliminary statistics,9 billion yuan of tourism revenue in Linxia area accounts for a large proportion of Linxia's annual revenue in 2019,and the number of tourists each year is about 8 million.According to the local economic situation,the implementation of targeted poverty alleviation policy in Linxia area can be combined with tourism development to achieve the goal of effective and significant poverty alleviation.According to the tourism situation in Linxia area,we can design tourism routes between scenic spots to promote tourism development.Considering the total amount of natural resources in Linxia area,the average wind speed in one year can reach 6600 meters per second between 103 ° E and 35 ° n,and the light intensity in one year can reach 5 kwh per square meter per day.It is planned to build a micro grid system of renewable energy power generation and the scheduling of charge and discharge of tourism electric vehicle joint micro grid operation in Linxia tourist attraction of Gansu Province,which can actually solve the problems of local tourism and economic development,resource conservation and environmental protection.Firstly,this thesis studies the load forecasting of the commonly used power generation units and tourism electric vehicles in the microgrid,understands its principle and characteristics,collects the wind speed,light intensity and temperature and other meteorological data in Linxia area,and applies the usual weather data and Homer simulation software to the selected wind turbine,photovoltaic generator and energy storage device according to the actual situation of Linxia scenic area See the mathematical model for mathematical modeling to get the mathematical model of wind power generation,photovoltaic power generation,etc.And according to the local tourism situation,the modeling of the electric vehicle load disorder charging is carried out,which lays the foundation for the later research work of this paper.Then,according to the actual situation of Linxia scenic spot,this paper selects the renewable energy power generation model,and considers the micro grid power supply to the electric vehicle load.According to the three objectives of investment cost,load deviation rate and utilization rate of wind and light,which are the minimum optimization objectives,considering some constraints,the capacity allocation problem of constructing microgrid is solved by differential evolution algorithm,and the reliability of the results is analyzed.Finally,in the micro grid of Linxia scenicspot,the orderly charge and discharge scheduling should be arranged for the tourism electric vehicles with disordered charging to achieve the purpose of economy.In this paper,the minimum cost of power generation and the maximum profit of electricity sales are selected as the objectives,and the corresponding constraints are considered.The new cuckoo search algorithm is used to solve the charging and discharging scheduling strategy of electric vehicles.The operation mode of scheduling results and the economy and feasibility of the scheduling strategy are analyzed.The calculation of optimization algorithm is completed by MATLAB software.The conclusion of this paper is that according to the economic scheduling results of microgrid system with reasonable capacity allocation,the profit of scheduling scheme is considerable,and it can make more than 1000 yuan every day.It can be seen from the specific analysis of the optimization scheduling process that the scheduling scheme is in line with the actual situation.In this paper,the feasibility of the scheduling plan is obtained from the analysis of the economic,environmental and technical aspects.
Keywords/Search Tags:micro network, renewable energy, electric vehicle, optimal configuration, economic dispatch
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