The Charging Dispatch And Charging Strategy Of Networked Electric Vehicle Based On Cyber-physical System

The state council issued?Made in China 2025?report which clearly put forward intelligent,network and low carbonation will be the future direction of car development.Under the guidance of national strategic planning,the networked electric vehicle(NEV)will be general trend.With the increasing number of networked electric vehicles,if without guidance and restriction for networked elctric vehicles charging,there will be a lot of problems.Such as users didn't found free charing pile in charing station after they arrived at charging station,which caused unnecessary wating time of users;and large-scale NEVs charging will influence the stable operation of power grid.Cyber-Physical System(CPS)is a kind of intelligent system that integrates sensing,communication,compution and control.Based on CPS,this paper studies and analyzes the charging model of networked electric vehicles and reducing the charging cost of NEVs in the case of time-varing electricity price.The main achivements and innovations of research are as follows:1.Based on CPS,this paper establishes the charging model of NEVs(NEVCC).In view of the inconvenience of networked electric vehicles disorderly charging,firstly,the charging reservation model is established.Secondly,in order to reduce the impact of large-scale NEVs charging on power grid,the charging monitoring model of NEVs is constructed.The combination of the above two models and CPS theory establishs the CPS model of NEV charging(NEVCC).2.Based on NEVCC model and fuzzy theory,this paper designs a concrete charging strategy of NEVs-In order to reduce charging cost of NEV while satisfying the goal of charging as full as possible in given time.This paper innovatively puts forward to fuzzy-logic based charging strategy.Its inputs are real-time electricity price,the difference of the theoretical time to be fully charged for NEV and the time given by user and its rate of change.Its output is charging power.When the demanded charging power of charging station is higher than the permitted maximum charging power,this paper puts forward to minimum the sum of charging cost and minimum the standard deviation time for all NEVs in charging station.Finally,the fuzzy multi-objective optimization algorithm is used to optimize the allocation of charging power.3.The simulation model of NEVCC is established in MATLAB/Simulink,and charging process is simulated under the condition of without chaging power limit and with charging power limit in the charging station.As the charging station without charging power limit,the comparation of fuzzy-logic based charging with constant power charging shows that the charging cost of fuzzy-logic based charging is less than that of constant power charging.As the charging station with charging power limit,fuzzy multi-objective optimized power allocation method is compared with existing power allocation methods.The experimental results show that fuzzy multi-objective optimized allocation method is more in line with the users' charging demand and economic benefit.