Study On Electric Vehicle Load Scheduling Strategies&Control System In Residential Community

With the increase of people’s awareness of environmental protection and the vigorous development of electric vehicle technology,the trend of electric vehicles replacing traditional fuel vehicles has become more and more brilliant.For the power grid,the first problem is that when a large number of EVs were disorderly connected to the power grid for charging,it will bring adverse effects such as intensified fluctuations,excessive power limits,and increased network losses.Thus,Research on the electric vehicle orderly access(V2G)power grid combined with electric vehicle discharge technology has become a hot topic in recent years.As countries attach more importance to EVs,it is necessary to further deepen and practically study the problemBased on the traditional EV load scheduling model and the influence of temperature factors,this paper improves the process of establishing the electric vehicle load model.For the changes in the characteristics of residential base load caused by temperature changes and people’s demand changes,targeted charging/discharging control strategies were adopted at different temperatures(divided by season).At the same time,the corresponding EV charging pile control system is designed to verify the practical feasibility of related strategies.The research content is as followsBased on historical data,the similar day method is used to make a forecast for the base load of residential areas.The influencing factors of battery charging characteristics and user travel rules in the traditional EV load model are analyzed.Then,the influence of temperature on EV energy consumption is introduced,and a more accurate EV load model at different temperatures is established using Monte Carlo simulation method,which paves the way for the following seasonal scheduling strategy.This paper analyzes the warm-up requirements of electric vehicles in winter,and proposes to provide warm-up services for electric vehicles by means of charge/discharge scheduling.Take a residential area in Beijing as an example to design a corresponding example.Observe the impact of different numbers of electric vehicles disorderly access to the distribution network of the community after considering the warm-up demand in winter.Aiming at the operational stability requirements of the distribution network and the specific needs of vehicle owners,a strategy based on vehicle SOC classification is proposed,and the improved FPSO algorithm is used to solve the scheduling model.The controlled simulation results show that this strategy can effectively improve the travel temperature of the user’s vehicle battery at low temperature while suppressing the load fluctuation of the power grid.The time-of-use electricity price policy is introduced,and the membership price function method is used to scientifically divide the peak and valley electricity price mechanism of the community.A simulation example of disorderly charging of electric vehicles in a residential area in summer was designed,and it was found that under the high-temperature conditions in summer,the long-term startup of various refrigeration equipment makes the risk of exceeding the overall load power of the residential area extremely.Therefore,this paper introduces a load scheduling strategy for electric vehicles with power limitation.Combined with the time-of-use electricity price policy,simulation examples show that the strategy can significantly reduce the user’s charging cost while using the EV load to provide peak-cutting and valley-filling functions to the power grid and eliminate power over-limitsOn the basis of theoretical research,explore the feasibility of related scheduling strategies in practical applications.The system is divided into a user identification module,a data communication module,an output control module,and a human-computer interaction module using the concept of module functionalization,and made a rough explanation of the software and hardware design of each module.The prototype experiments show that the charging pile control system designed in this paper can basically achieve its various expected functions.