Planning And Scheduling Of Micro Grid Charging And Changing Facilities Based On The Distribution Of Electric Vehicle Demand

With the increasing popularity of electric vehicles,a large number of electric vehicle loads connected to the power grid have a profound impact on the planning and operation of the power system.The vigorous development of the charging and changing service industry further aggravates this impact.There are many kinds of charging and changing equipment,and the planning methods of different kinds of charging and changing equipment are quite different.In this context,this paper has carried out a multi-type charging and changing facilities in the microgrid environment Research on joint planning and optimal scheduling.Firstly,this paper analyzes the driving characteristics of three types of electric vehicles,establishes the relationship between the driving distance of three types of electric vehicles and the probability distribution,and uses the scenario analysis method to predict the future electric vehicle ownership and electricity demand in the planning area.Based on Hidden Markov chain,a simulation method of electric vehicle demand distribution is proposed,which consists of three typical parking areas and traffic topologies.In this method,through the secondary classification of the parking probability of the basic parking area,the power demand probability of the typical parking area is obtained.The driving data of the electric vehicle is taken as the observation sequence,and the state matrix of the hidden layer is obtained by using its transfer matrix in the typical parking area,so as to achieve a high-precision simulation of the distribution of the power demand of the electric vehicle.This method can reasonably predict the distribution of electric vehicle power demand in the planning area,and can provide data support and reference for the planning of charging and changing facilities.Secondly,a classification method of parking situation and charging and exchanging facilities is proposed.Through the analysis of different electric vehicle load situation and charging facilities,different situation loads and charging facilities are returned.Aiming at the minimum annual comprehensive cost,the mathematical model of multi-type charging and exchanging facilities joint planning is established,and the preliminary multi-type charging and exchanging facilities joint configuration scheme is obtained.Based on the case data of the development area of a city,this method can select the number and capacity of the charging facilities and the service scope of the charging power station according to the division of the power load situation,which shows the effectiveness of the proposed method.Finally,a two-level optimization programming method is proposed.In view of the complexity of the mathematical model of the target area,the weighted Voronoi method is used to divide the target area according to the load distribution,and then the genetic algorithm is used to solve the mixed integer nonlinear programming problem.On the basis of the planning scheme,a multi-objective optimal scheduling mathematical model is established with the objectives of minimum load fluctuation,electric vehicle charging and discharging load and the proportion of photovoltaic energy consumption.Through the data verification of the same development zone,the method is more efficient than the traditional algorithm to address the global optimal solution.The optimized scheduling load can alleviate the impact of the electric vehicle connected to the power grid to a certain extent,which shows the practicability of the proposed method.