Research On Optimal Configuration Of Distributed Generation And Electric Vehicle Charging Station In Active Distribution Network

With the increasing consumption of non-renewable energy and the continuous growth of the demand for electricity,it has become the development goal of the distribution grid to promote energy cleanliness and to efficiently and rationally promote the achievement of carbon peaking and carbon neutrality.Facing the rapid increase in demand for electric vehicle charging stations and the high penetration of distributed power sources,the planning of a perfect active distribution network is particularly critical for the development of the entire grid system.In order to coordinate the planning of wind turbines,PV,energy storage and EV charging stations in the active distribution network,the structure and classification of EV charging stations,the queuing theory model of charging facilities are introduced,the operation models of wind turbines,PV power generation model,user load model and energy storage system are established,and the scenario generation and reduction methods are elaborated to lay the theoretical foundation for obtaining typical wind turbine and PV output curves,base load and charging load curves and daily travel distance curves of EV users in the later paper.To meet the daily charging needs of electric vehicle users,a charging station planning method based on improved gravitational search algorithm is proposed.The total charging demand is obtained by the user ’s daily travel distance,and the queuing theory model is used to solve the total number of different types of charging piles required.The optimal charging station construction scheme is solved with the minimum system network loss,the minimum voltage offset and the minimum construction cost as the objective function.The IEEE 33 node example system is used to verify the proposed model.By comparison,it is verified that the algorithm planning results in this paper are more economical and practical,and the effect of reducing system network loss,reducing construction cost and improving voltage quality is more significant.Aiming at the large-scale access of distributed power sources represented by wind turbines,photovoltaics and energy storage,a planning method of wind-solar-storage and charging stations based on bi-level programming is proposed.Considering the urban road network diagram,the average charging path time of users is taken as one of the objective functions,and the influence of construction cost,power purchase cost and network loss is considered.The improved gravitational search algorithm and secondorder cone programming are used to solve the bi-level optimal configuration model.The upper layer uses the improved gravitational algorithm to obtain the capacity of wind-solar-storage and the configuration of charging stations,and the lower layer uses the second-order cone programming to obtain the access location and daily scheduling curve of wind-solar-storage.Taking the traffic map of some arterial roads in a city as an example,the simulation verification is carried out with the IEEE 33 node example system.The simulation results show that the proposed algorithm has good effects in economic benefits,user travel time,and power grid operation safety.The introduction of distributed power supply can provide power support to the load and effectively reduce the network loss.Energy storage can also play a role in peak shaving and valley filling,suppressing power fluctuations.Reasonable charging station planning location can better reduce user charging path time.