An Integrated Energy System Optimization Strategy Considering Carbon Capture and Landscape Uncertainty at Multiple Time Scales

To achieve the goal of carbon peaking and carbon neutrality in the energy0 and power industry, firstly, this paper fully considers the new energy stochasticity and correlation, and proposes a method for generating wind power output scenarios using kernel-based density estimation and Copula theory, in order to obtain a representative daily wind power output sequence; secondly, the incentive role of both The supply and demand sides is viewed through the lens of low-carbon aspect, and the source side is added to the storage liquid tank to decouple the relationship between carbon absorption and carbon capture in CCS. Then, the load side joins the price-based electric demand response to utilize the flexible load regulation characteristic of the DR resource in conjunction with the flexible output regulation characteristic of the storage unit; finally, the day-ahead-intraday low-carbon economic dispatch model is constructed, which improves the economy and reliability of the system.