Integrated energy system scheduling considering carbon trading price demand response

In a dual-carbon context, multi-energy coupling technology can absorb wind and solar energy, and carbon trading can control carbon emissions, thus accelerating the process of achieving 'carbon neutrality'. This paper proposes an integrated energy system scheduling model to address the impacts of carbon trading prices, wind power, solar power, load, and other uncertainties on energy scheduling. A technique for demand response based on carbon trading price is proposed to minimize the impact of price fluctuations caused by carbon trading. The model considers factors such as equipment operating costs, carbon trading costs, demand response costs, and wind and solar abandonment costs. Multiple energy storage technologies are utilized to enhance the flexibility of the dispatch strategy. The article introduces information gap decision theory to solve the model for multi-energy scheduling, considering its economy and robustness. The scheduling scenarios for a typical day are analyzed under risk-averse and risk-seeking strategies. The results demonstrate that the proposed method reduces the total cost by 26.3% compared to the baseline scenario, validating the effectiveness of the proposed scheduling strategy.