Power Grid Robust Optimized Dispatch Considering Vehicle-to-Grid Uncertainty
With the increasing plug-in hybrid electric vehicles connected to grid,the randomness and intermittency of EV access will have a great impact on power system optimal dispatch.In view of the uncertainty of interaction between vehicles and grid (Vehicle-to-Grid,V2G),this paper introduces the robust optimization theory into the grid optimal dispatch with EV connection.Duild up a multi-objective dynamic robust optimized dispatch model for power system containing Evs; take into account the integrated optimization objectives,including thermal power generation cost,economic benefit of V2G users and the emissions of polluted gas; design a new multi-objective backtracking search optimization algorithm (BSA).This algorithm introduces Pareto non-dominated sorting operation into BSA,which overcomes the shortage of failing to solve multi-objective model effectively.The calculation examples have verified the validity and practicability of this proposed model and method.
electric vehiclerobust optimizationoptimized dispatchbacktracking search algorithmPareto front
NETL
NSTL
万方数据
维普
