Optimal Allocation And Scheduling Strategy Of Mobile Energy Storage Vehicles In Active Distribution Network

With the continuous growth of grid load,the peak-to-valley difference increases,and the large amount of renewable energy access increases the difficulty of active distribution grid peak and voltage regulation.In recent years,mobile energy storage has become a hot spot because of its flexibility in both space and time,its participation in the friendly interaction of source-net-load-storage in the distribution network,improving the distributed energy absorption capacity and distribution equipment utilization in the distribution network,and providing normal friendly support for distribution network operation;on the other hand,in the process of restoring power supply after a disaster in the distribution network,mobile energy storage as an emergency power supply can play a significant role in restoring power to important loads as an emergency power source in the post-disaster restoration process of distribution networks.Therefore,it is important to plan,regulate and adapt the mobile energy storage to the normal operation of the active distribution network and to improve the power supply recovery capability after failure.Firstly,in order to meet the application requirements of mobile energy storage to support the normal operation of the distribution network,we adopt the network flow theory to establish a hybrid integer linear programming model for optimal regulation of mobile energy storage vehicles based on the concept of dual network integration of distribution network and mobile road network of energy storage vehicles,and the deployment requirements of mobile energy storage to support the tide regulation of active distribution network and renewable energy consumption.The integer linear programming model is used to establish a joint optimization model of mobile energy storage configuration and dispatch with the goal of maximizing the net benefit of mobile energy storage vehicle configuration,and to make decisions on mobile energy storage vehicle configuration scale,deployment path and charging/discharging plan.At the same time,for the application demand of mobile energy storage as an emergency power source for power supply restoration,the mobile energy storage vehicle regulation model is refined based on the network flow theory,and the mobile energy storage vehicle emergency deployment optimization model is established with the objective of minimizing the operating cost of mobile energy storage and the loss cost of users’ power outage by considering the power supply restoration of mobile energy storage to loads of different importance levels.The simulation results show that the optimal deployment and dispatching of mobile energy storage vehicles can support the active distribution network to cope with the relatively dispersed line tide peaking demand and enhance the renewable energy consumption more economically and flexibly than the traditional planning scheme of expanding and constructing new substation lines;and the optimal deployment of mobile energy storage vehicles can effectively reduce the loss of customers and improve the distribution network resilience for the restoration of critical loads after natural disasters.The optimal deployment of mobile energy storage vehicles can effectively reduce user outage losses and improve distribution network resilience.In summary,the thesis provides a new idea of joint optimal planning integrating mobile energy storage regulation and configuration planning for the development of mobile energy storage business.