Multi-timescale optimal scheduling of integrated energies considering supply and demand interactions

In order to cope with the current challenges brought by the volatility of renewable energy and the random entry of large-scale electric vehicles into the grid, how to realize the interaction between the supply and demand sides becomes an urgent problem to be solved at present. First, a price-based response strategy based on time-of-use tariffs and an incentive-based response strategy that takes into account response uncertainty are proposed, making full use of the identity of EV virtual energy storage, which together constitute an aggregated EV dispatch strategy that accounts for demand response. Secondly, to address the inherent prediction error problem, a regional integrated energy multi-timescale rolling optimised dispatch model considering supply and demand interactions is constructed to fully exploit the dispatch potential of energy storage on both the supply and demand sides to achieve economic optimisation. Finally, experimental verification is carried out, and the results show that the proposed model can better exploit the dispatching potential of electric vehicles as flexible loads and virtual energy storage, and improve the economy of system operation.