Intelligent layout and location method of electric vehicle charging piles based on time series power flow calculation

To avoid the unreasonable layout and location of charging piles affecting the power flow state of a power system, an intelligent layout and location method for charging piles of electric vehicles based on time-series power flow calculation is proposed. This method mainly uses the power system power flow calculation model based on time series linear big data analysis to calculate the power system power flow state, and the demand forecast model of electric vehicle charging piles based on the M/M/S queuing theory is used to forecast the demand of charging piles in the future. Based on the mastered power system power flow state and future demand of charging piles, an objective function of the intelligent layout and location of electric vehicle charging piles is designed with the introduction of the power flow entropy index. The chaotic quantum optimization algorithm with adaptive weight adjustment is used to solve the longitude and latitude of the charging pile location that can achieve the least comprehensive cost, power flow equilibrium, and meet the demand of charging piles in the future. After testing, this method can reduce the comprehensive cost of the charging pile layout and location and improve the power flow balance of the power system.