Research On Energy Management System Of Electric Bus Charging Station

With the proposal of the "carbon neutral" target in 2060 and the promulgation of the "14th Five-Year Plan",new energy vehicles as a "green" means of transportation will usher in a stage of vigorous development.As public transportation,buses will surely become the leader in the implementation of new energy.Although the bus schedule has regularity,electric buses are affected by the actual operating environment and different charging times and charging modes will cause different economic problems.Therefore,it is particularly important to study the management and optimization strategy of the electric energy of the bus charging station.The paper analyzes and models the demand for electric bus charging stations,and analyzes the pit time,battery power,and charging planning factors that affect the bus charging demand according to the operation plan and charging mode of the bus,and based on the actual vehicle parameters and scheduling data Carry out modeling and actual demand simulation for bus charging power demand.In view of the uneconomical problems in the current charging scheduling of electric bus charging stations,this article guarantees the normal operation of buses under the two-part electricity price charging standard,and proposes a constant objective function with the lowest charging cost of bus charging stations and the lowest peak load.The optimization strategy of the power charging mode is solved iteratively through the particle swarm algorithm.The results show that the optimized load curve has a good improvement in the charging cost and load peak,and the charging plan of the bus is more reasonable.Aiming at the sudden traffic conditions in the bus operation,firstly based on all feasible charging plans in the time interval generated by the driving plan,and then propose an optimization strategy for the variable power charging mode with the lowest charging cost and the lowest peak load at the bus charging station.Iterate through particle swarm algorithm.The results show that the bus variable power charging plan can transfer the extra load caused by sudden traffic conditions by coordinating the charging time and power,and has a good charging cost and load peak performance.Considering the subsequent transformation of the existing ordinary charging station into a more economical optical storage charging station,first analyze the composition structure of the optical storage charging station and analyze the combination of its operating conditions,and then analyze its operating conditions according to the typical photovoltaic processing curve The switching strategy and conditions are constrained,and finally the optimization model of the optical storage charging station is established.The simulation results show that the cooperation of photovoltaics and energy storage can greatly reduce the charging cost and increase the revenue of solar storage,and the cooperation of energy storage and photovoltaics greatly improves the flexibility of the electrical energy in the time sequence,which plays a very good role.The role of peak cutting and valley filling.