Research On Planing Of Electric Vechicle Charging-swapping-discharging-storage Integrated Station

The charging-swapping-discharging-storage integrated station(CSDSIS)is a centralized and comprehensive station of electric vehicles(EVs),which consists of charging-system(CS),battery-swapping-system(BSS)and cascade-energy-storage-system(CESS).The CS provides charging service to passenger EVs(PEVs).The BSS provides battery swapping service to electric buses(EBs).The CESS plays a role of EV load regulation and emergency support.The CSDSIS has an intensive characteristic,and it can charge/discharge at grid peak/valley,stabilize EV load by in-station energy complements,utilize EV waste batteries adequately,adjust voltage dynamically,and power supply to emergency load.And it has high land and equipment utilizations,which can improve the safety,reliability,stability,economic,and environmental-friendly characteristic for grid,as well as reducing electricity costs of EVs,and increasing the scale of EVs access further more.The establishment of different scales' CSDSISs in different locations has a great impact on the grid and EV users,and its rational sizing and locating planning has a great important research significance.Meanwhile,it is significant to improve the self-healing capability of ADN by studying fault recovery of an active distribution network(ADN)considering CSDSIS.The main works are as follow:Firstly,the EV space-time load forecasting model is established according to EV space-time characteristics,which describes the change processes of EV load quantity and spatial distribution in time accurately in planning area.Then multi-scenario forecasting and scenarios reduction for EV load are carried out,which improves accuracies of analysis and forecast of EV load.And it provides the load basis for locating and sizing of CSDSISs and improves the accuracy of planning.Secondly,the locating and sizing bi-level planning model of CSDSIS is established,which is based on the forecasting result of EV space-time load.The upper-level planning optimizes locations of CSDSISs,which takes into account the economics of grid investment and operation.The lower-level planning takes the shortest EV actual driving path as the target,which for dividing CSDSISs service scope,then return back loads of each CSDSIS to the upper-level planning to optimize their sizes.A combinatorial algorithm that combines particle swarm optimization(PSO)algorithm and Dixtra algorithm is used to solve the locating and sizing bi-level planning model of CSDSIS,which is a complex,nonlinear,and multi-constrained optimization problem with shortest path optimization problem.Simulations show that the locating and sizing planning method of the CSDSIS is feasible and effective.Finally,the load emergency support model of CSDSIS is established,and the fault recovery method of ADN considering CSDSIS is proposed.A chaotic simulated annealing imperial competition algorithm(CSICA)is proposed to solve the fault recovery model.The validity of the proposed fault recovery method and the rapidity of the algorithm is verified by simulations.