Multi-Timescale Optimal Dispatching Strategy for Coordinated Source-Grid-Load-Storage Interaction in Active Distribution Networks Based on Second-Order Cone Planning

In order to cope with the efficient consumption and flexible regulation of resource scarcity due grid integration renewable energy sources, a scheduling strategy that takes into account coordinated interaction source, grid, load, storage is proposed. improve accuracy dispatch, BP neural network approach modified by genetic algorithm used predict sources loads. The non-convex, non-linear optimal dispatch model distribution transformed mixed integer programming tides based on second-order cone relaxation, variable substitution, segmental linearization Big M method. addition, uncertainty distributed output flexibility load demand re-response limit single time scale, so frequency forecasting increased, an complementary scales developed. Finally, IEEE 33-node system was tested verify effectiveness proposed dispatching strategy. simulation results show 18.28% improvement in economy 24.39% increase capacity consume energy.