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Planning Of Integrated Energy System With The Electric Vehicles Integration

Posted on:2021-12-02Degree:MasterType:Thesis
Country:ChinaCandidate:X Y LiFull Text:PDF
GTID:2492306476455734Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
In the context of the decrease in globalized stone energy and the rapid increase in the number of electric vehicles,this paper incorporates the interaction between electric vehicles and the power grid(V2G)into the comprehensive energy system planning.Evaluation and analysis of investment cost reduction,etc.,and joint scheduling of temperature control(air conditioning)loads and electric vehicles have improved certain clean energy consumption capacity.The main work can be summarized as:First,based on the measured data of the vehicle platform,the vehicle behavior analysis and charging load prediction of four types of electric vehicles were carried out.Among them,the mileage and parking rate of electric vehicles in a single day are analyzed,and the rules of multi-type electric vehicles based on data driving are formed,and the time-sharing charging load of electric vehicles is simulated by Monte Carlo simulation.In addition,the constraint conditions are extracted from the single-day adjustable node quantity and adjustable power respectively,with the minimum peak-valley difference and the lowest charge-discharge cost as the objective function,combined with multi-objective particle swarm optimization(MOPSO)for optimization,forming a disorder Electricity load curve in three scenarios: charging,ordered charging,and V2 G mode.Then,based on the integrated energy system(IES)modeling technology,an extended planning model including electric vehicle charging stations was established.The fourth chapter combines the construction / operation constraints of gas boilers,generator sets,CHP units,P2 G units and other equipment in the integrated energy system,and uses the lowest planned total cost as the objective function.In the YALMIP environment,the CPLEX solver is used for calculations.The total cost of planning in the three scenarios of no coupling,two-way coupling,and two-way coupling considering electric vehicles.The results show that in the integrated heatelectricity hybrid energy system,the inclusion of electric vehicle charging stations can absorb some of the clean energy,reduce the pressure of P2 G units,and further reduce the planning cost.Finally,the air conditioner is included in the integrated energy system as a temperaturecontrolled load,and combined with electric vehicles to participate in the on-site consumption of clean energy as an adjustable load of the power grid.Modeled wind power and photovoltaic power generation,combined with wind and light data of specific areas,the clean power generation power distribution can be calculated.After setting the indoor temperature range in winter,the CPLEX solver is used to calculate the calculation example.The results show that under the strategy of joint scheduling of air conditioning load and electric vehicles,the clean energy consumption rate has been further improved,and the phenomenon of abandoning wind and light has been reduced.
Keywords/Search Tags:Electric Vehicle, Data-Driven, Integrated Energy System, Expansion Planning, Clean Energy Consumption
PDF Full Text Request
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