Optimized Operation Of Distribution Network Considering Price Incentive After Large-scale Electric Vehicles Are Connected

With the rapid development of electric vehicles,more and more electric vehicles are integrated into daily life.When large-scale electric vehicles are connected to the distribution network for charging,it will cause problems such as uneven load distribution,increased network loss,system overload and voltage sag of the distribution network,which will affect the safe and stable operation of the distribution network.It is of practical significance to optimize the operation of the distribution network which is connected with a large number of electric vehicle loads.In this paper,related researches are carried out from the analysis of electric vehicle charging model,how to schedule orderly charging optimization and the optimization of distribution network reconstruction.According to the use of electric vehicles,the categories of electric vehicles are classified,and the travel rules and characteristics of different types of electric vehicles are analyzed and summarized in detail.Combined with the road traffic network,the temporal and spatial distribution model of electric vehicles is established.Then,using Monte Carlo simulation method,OD analysis method and Floyd algorithm,the travel rules of various electric vehicles are analyzed and modeled.The urban regional road model was set,and the temporal and spatial distribution of the electric vehicle load in the region was simulated and predicted through MATLAB programming.Technological means such as smart grid and intelligent charging navigation will be used to implement orderly charging control strategies for electric vehicles.According to the daily load curve and distribution network structure,the temporal and hierarchical price models are proposed.To minimize the charging cost of users and the standard deviation of daily grid load,an orderly charging strategy was developed to motivate and guide users to respond autonomously to orderly charging,so as to regulate the spatial-temporal distribution of charging load.The simulation solution was carried out through Matlab and the calculation example was verified.A multi-objective distribution network reconfiguration model was established,and a time-segment reconfiguration optimization strategy was developed according to the load variation characteristics.The dynamic reconfiguration method during the break-up period was adopted to optimize the dynamic operation of the distribution network.The particle swarm optimization algorithm is improved by using load moment heuristic,and the simulation is carried out through IEEE33 node system,and several different simulation scenarios are set to verify the effectiveness of the optimization model and the solution algorithm.The dual optimization strategy of distribution network operation can not only realize the peak and valley reduction of distribution network,relieve the operating pressure of the system,but also effectively balance the load of the system,improve the quality of power supply and improve the economy of the system operation.