Multi-time-scale optimal scheduling strategy of electricity-heat-cold-gas integrated energy system considering ladder carbon trading

Many distributed energy sources are greatly aggregated under "peak carbon dioxide emissions, carbon neutrality." To increase the consumption of renewable energy, lower carbon emissions, and boost economic efficiency, a multi-time-scale optimal scheduling model for an integrated energy system (IES) consisting of heat, gas, cold, and electricity is presented in this paper. Firstly, a ladder carbon trading model based on carbon capture and storage (CCS) and power-to-gas (P2G) coupling is constructed, and an optimal scheduling strategy for IES containing multiple heterogeneous energy sources of heat, electricity, cold, and gas is proposed. Secondly, a multi-time-scale scheduling model with source-load coordination is built for the day-ahead, intraday and realtime, and the optimal regulation is implemented using the lowest cost as the objective function. Finally, the economy, low carbon, and flexibility of the proposed multi-time-scale optimal scheduling strategy are verified by the simulation analysis.