Optimisation Study of Charging Station Operation Model Based on Smart Grid
A user-based Q-Learning algorithm model is described,which aims to simulate the charging behaviour of users,accurately predict the charging demand of each station in the charging station network,and then formulate the optimal operation strategy.During the EV charging phase,the charging station is responsible for monitoring and adjusting the EV charging and discharging quantities to match the load response of the power system,thus assisting the power system to deal with the problem of large-scale access to wind power.To cope with this,a two-dimensional multilevel dispatch operation model is constructed,which anticipates the uncertainty of wind power generation and improves the emergency reserve capacity for power deployment.Through the management and coordination of power charging stations,the absorption capacity of the grid for wind power generation is enhanced,and the advantages of various types of resources in charging station dispatch are fully utilised to improve the operation strategy.
smart gridcharging station operationoptimised decision-making
万方数据
维普
