Research On Power Management Strategy Of Substation For Electric Bus

In recent years,due to the large amount of automobile exhaust emissions,environmental pollution has increased.At the same time,fossil fuels have become scarcer.With the development of the national economy,automobile production is increasing and energy is becoming more and more tense.Electric Vehicles(Electric Vehicles,EV)show a broad space for development because of the cleanliness used and the renewability of energy.It has become the target of vigorous development by governments and enterprises.Among them,the electric vehicle battery energy supply has two modes of charging and changing power.Because the operation of the bus often follows the pre-established departure plan and the relatively fixed driving route,and the vehicle and battery specifications are unified,the power-replacement mode is widely promoted in the electric bus(Electric Bus,EV)due to the energy supply.Along with the rapid development of Battery Switch Stations,the traffic plans of electric buses are cluttered,the redundancy of resources such as battery blocks and charging piles,and the disorder of charging are beginning to appear.solve.The constant volume of the power station and the charging and discharging schedule have become the key factors affecting the development of electric bus replacement.In this thesis,the in-depth study is carried out with the fixed capacity of the power station and the charging and discharging schedule as the core and the bus' s driving plan.According to the driving schedule and dispatching problem of the electric power station,this thesis considers whether the electric power can meet the next driving demand and the influence of the number of power changes and the time of the electric change on the driving plan according to the driving range of the electric bus and the passenger flow data.The lowest operating cost is the objective function.An improved genetic algorithm(IG)is proposed to optimize the bus schedule and scheduling,which saves the operating cost of the substation,and at the same time,the capacity and charging and replacement of the substation.The dispatch is ready for work.For the constant capacity of the power station and the charging and discharging scheduling problem.In this thesis,two algorithms are proposed.Firstly,according to the existing related substation capacity allocation algorithm and the shortage of charging and discharging scheduling algorithm,a constant volume-scheduling algorithm(constantvolume-scheduling,CV-S)with the lowest cost of bus replacement is proposed.Algorithm.Firstly,the algorithm solves the problem of constant volume of power station,and proposes a constant volume algorithm with the lowest objective function of bus replacement cost(battery block cost and charging pile cost),and uses differential evolution algorithm to optimize the model.The cost of changing the power station is greatly saved.After solving the optimal bus substation capacity configuration,a charging and discharging scheduling algorithm with the lowest charging cost of bus to power station is proposed,and then the algorithm is optimized by 0-1 integer programming,saving The charging cost of changing the power station.Then,this thesis proposes a joint algorithm(Joint Optimization,JO),which is the optimization and improvement of the CV-S algorithm.Considering that the charging cost has an impact on the total cost of the power station,and affects the number of battery blocks and the number of charging piles in the power station,the joint algorithm uses the bus replacement cost(battery block cost,charging pile cost and charging cost)to be the lowest.The objective function,using JO algorithm,optimizes the number of charging piles,the number of battery blocks and the charging and discharging scheduling of the battery block,and optimizes the capacity configuration and charging and discharging scheduling of the power station.