| With the global stone energy depleting and environmental pollution becoming so serious,the application of microgrid is becoming more and more widespread.The microgrid can effectively absorb the power of new energy sources such as solar energy through the energy storage system in the network,and improve its utilization rate.At the same time,the number of electric vehicles(EV)is growing rapidly.When a large number of electric vehicles are connected to the grid for charging,the power load of the grid will increase sharply in a short period of time,resulting in an imbalance in the supply and demand of the grid power and affecting the normal and safe operation of the grid.This article takes the microgrid in urban residential areas as the research object and it contains a photovoltaic(PV)power generation system and a lithium battery energy storage system(BESS).And we mainly study the rated capacity/power of the lithium battery energy storage system and the number of photovoltaic solar panels of microgrid when considering vehicles to Grid,(V2G).The specific work is as follows:Firstly,the design scheme of energy storage system and its unit capacity cost analysis method are proposed.Using the lithium battery bottom design and cost analysis model(BatPac)developed by the Argonne laboratory,a design plan for a lithium battery energy storage battery cabinet with a capacity of MWh level is proposed.The unit capacity cost of the lithium battery energy storage system is analyzed,and the results are applied to the analysis of the economic characteristics of the microgrid.It further proposes a method for calculating the daily average operating cost of the microgrid.Secondly,the orderly charging and discharging loads of electric vehicles in the microgrid are studied.Using the statistical data released by the US Department of Transportation in2017 on family car travel surveys across the United States,analyze the driving laws of electric vehicle users.Aiming at the lowest total net charging cost of all electric vehicle users in the microgrid,an orderly charging and discharging load prediction model for electric vehicles was established,and a charging and discharging control strategy was proposed.The particle swarm optimization(Particle Swarm Optimization,PSO)is used to solve the model,and the ordered charge-discharge load forecast curve of the microgrid electric vehicle is obtained.Thirdly,establish the optimal configuration model of the micro-grid optical-storage system in the residential area.The model aims to minimize the average daily running cost of themicrogrid and the average daily hourly power supply and demand difference,and impose state of charge(SOC)constraints and power constraints on the lithium battery energy storage system.The fast non-dominated sorting genetic algorithm(NSGA-?)solution of the strategy can obtain the optimal configuration solution set of the number of photovoltaic solar panels in the microgrid and the rated capacity of the energy storage system.Finally,taking the microgrid of a residential area in an area as an example,the optimal configuration model of the microgrid optical-storage system under three different scenarios is analyzed and solved.The simulation results verify the practical value of the model,and at the same time explain the influence of the unit cost of the energy storage system and the orderly charging and discharging of the electric vehicle on the optimal configuration of the microgrid optical-storage system.The research results could improve the economics and stability of the microgrid,and can provide a theoretical basis for the optimal configuration PV-BESS system in the residential area microgrid considering electric vehicle. |
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