Collaborative Technology For Capacity Configuration And Optimal Operation Of DSs And EVs In Distribution Network

With the growing number of electric vehicles,the optimal configuration of charging piles has become a practical problem that needs to be solved urgently.A large number of distributed power sources and electric vehicles are connected to the distribution network,which contributes to the reliability and stability of the distribution network.Performance and economic operation bring new challenges.The DSs and EVs collaborative optimization configuration can not only improve the economic benefits of the configuration,play a higher role in peak shaving and valley filling,but also reasonably coordinate the balance between supply and load through demand response and multi-time scale optimization,and improve power distribution.The economy of network operation and improve the utilization rate of energy.This thesis focuses on the collaborative configuration and optimal operation strategy of the DSs and EVs capacity of the distribution network.The main work is summarized as follows:（1）Aiming at the problem of DSs and EVs capacity coordination configuration in the distribution network,considering the uncertainty of wind and scenery,based on the road network coupling system,using the double-layer multi-scenario collaborative optimization configuration model method,a cost-effective charging method is proposed.A method for the optimal configuration of piles and energy storage synergistically.The upper layer considers the economy of the charging pile and the energy storage configuration scheme,and the lower layer considers the operation cost of the configuration scheme to the distribution network.The upper and lower layers coordinate with each other to obtain the optimal configuration result.The results of the example show that the configuration scheme achieves the optimal economical operation on the basis of satisfying the charging load demand.（2）Research on the DSs and EVs collaborative optimization operation strategy problem based on demand response,establish an electric vehicle control optimization model,and fully tap the scheduling potential of electric vehicle charging loads through the demand response mechanism,so that the daily operating cost of the charging station is the lowest As the goal,build a DSs and EVs optimization operation model under demand response.Under the formulated response strategy,the advantage of DSs and EVs synergistic output is brought into play,which has a better role of "peak shaving and valley filling",thereby improving the flexibility of power grid operation.The calculation example results show that this method can effectively reduce the daily operating cost of the charging station,and has a good reference significance in practical engineering applications.（3）Research on the multi-time-scale DSs and EVs collaborative optimization operation strategy problem.In the intraday stage,the column and constraint generation（C＆CG）method is used to deal with the uncertainty in the day-ahead stage.Considering the demand response of electric loads,Construct a robust cooperative operation optimization model of DSs and EVs recently.Secondly,considering the participation of electric vehicles in Vehicle-to-grid（V2G）,build an intraday DSs and EVs random rolling optimization model,and formulate a dispatch plan for the intraday phase of the distribution network.Finally,on the basis of ensuring voltage stability,short-term optimization of the DSs and EVs of the distribution network is carried out,and a real-time operation optimization model is constructed.Power adjustment and scheduling plan for the next moment in the intraday period.An example analysis is carried out in the IEEE33 system,and the results show that through the multi-time scale DSs and EVs collaborative operation optimization,the error amount between the wind and solar forecast and the actual can be effectively absorbed,and the stable and reliable operation of the distribution network can be achieved.