Peak-valley Optimal Dispatching Strategy Of Electric Vehicle In Active Distribution Network

With the great strategic demand of energy consumption transformation and upgrading,electric vehicles(EV)have attracted wide attention for their low pollution and high efficiency,and have gradually become a new trend of automobile industry.On the one hand,a large number of electric vehicles connected to the power grid for disorderly charging will cause negative impacts such as lower power quality and worse peak-valley difference.On the other hand,the active distribution network can use flexible management methods to control the charging and discharging behavior of EV,and through V2 G technology,electric vehicles as energy storage units,feed back to the power grid,play the role of peak shaving.This paper focuses on the research of peak-valley optimal dispatching strategy of electric vehicle in active distribution network.The main contents include:(1)Setting up the scenery output model and the electric vehicle charging demand model,analyzing the influence of a large number of electric vehicles connected to the active distribution network.Several characteristic indexes and probability distribution models are proposed,and the charging demand model of EV is obtained by using Monte Carlo method.(2)An electric vehicle real-time dispatching strategy based on optimal electricity price is proposed.Based on the idea of making full use of the potential of vehicle owners’ charging demand response scheduling,the paper makes an appropriate day-ahead pricing strategy to guide the charging behavior of customers,so as to achieve the effect of load-shifting and load-filling of distribution network.Firstly,the concepts of demand response and price elasticity of demand are analyzed.Secondly,a three-layer EV charging management architecture is proposed,which includes distribution network control center,EV aggregator and EV terminal.Finally,time-of-use pricing and multi-period pricing are used to validate the optimal scheduling strategy.(3)An Electric Vehicle grouping scheduling strategy considering V2 G is proposed.Based on the idea of EV charging and discharging time shifting to achieve peak load shifting and valley filling,a scheduling strategy based on V2 G and clustering is developed,which greatly reduces the computational complexity.In this strategy,the vehicles are divided into subgroups according to charging characteristics,different charging schemes are implemented by different subgroup,uncertain quantities are calculated by interval number,and the day-ahead scheduling scheme is optimized by genetic algorithm.In the real-time stage,the charging scheme is implemented through the three-layer charging management architecture and real-time regulation is carried out.The simulation results show that the strategy has good computing speed,peak shaving effect and robustness.