【摘要】 针对综合能源系统中风能和光伏等可再生能源的出力不确定性及波动性强的问题，提出了一种考虑需求响应与碳交易的综合能源系统优化调度策略。首先，采用拉丁超立方抽样的场景生成与快速前因消元技术处理风光不确定性；然后，结合需求响应机制和碳交易机制，在满足能源系统供需平衡的情况下考虑系统碳排放，构建综合能源系统的低碳优化调度模型，最大限度地减少系统运行成本和碳排放量；最后，通过对不同场景的对比分析得出，该调度方法可有效利用能源系统中的可调资源，进一步提升了系统的运行效率和可再生能源的消纳能力，实现了能源系统的低碳经济调度目标。更多还原

【Abstract】 In response to output uncertainty and strong volatility of renewable energy such as wind power and photovoltaics in integrated energy systems, an optimization scheduling strategy of the integrated energy system considering demand response and carbon trading is proposed. First, the scenario generation and rapid antecedent elimination technology of Latin hypercube sampling are used to deal with the uncertainty of wind and solar power. Then, the demand response mechanism and carbon trading mechanism are combined to consider the system carbon emissions while satisfying the supply and demand balance of the energy system. A low-carbon optimization scheduling model for the integrated energy system is constructed to minimize the system operating costs and carbon emissions. Finally, comparative analysis of different scenarios shows that the scheduling method effectively utilizes the adjustable resources in the energy system, further improves the operating efficiency of the system and consumption capacity of renewable energy, and achieves the low-carbon economic scheduling goal of the energy system.更多还原