考虑阶梯碳交易机制下的源荷储协同优化调度
Considering the Collaborative Optimization Scheduling of Source-Load-Storage under the Step Carbon Trading Mechanism

随着低碳经济的发展，新能源比重不断提升，仅依靠火电机组的调节能力难以完全消纳新能源出力的随机性与波动性，需要进一步挖掘负荷侧的可调节能力，构建包含柔性负荷、储能、燃气轮机等的模糊机会约束电热综合能源系统(IEHS)数学模型。该模型综合考虑价格型和替代性负荷特性。最终建立考虑模糊机会约束和阶梯碳交易机制的IEHS日前源荷储协同优化调度模型，并通过3种典型场景分析了模糊机会约束和碳交易机制对能源调度的影响，以及考虑柔性负荷和储能对IEHS降碳、降低成本的作用，研究结果表明，在考虑阶梯碳交易机制下，源荷储协同优化能有效降低系统综合成本。
With the development of low-carbon economy, the proportion of new energy is increasing. It is difficult to fully absorb the randomness and volatility of new energy output only by relying on the adjustment ability of thermal power units. It is necessary to further explore the adjustable ability of the load side and construct a fuzzy chance constrained electrothermal integrated energy system (IEHS) mathematical model including flexible load, energy storage and gas turbine. The model considers both price-based and alternative load characteristics. Finally, a day-ahead source-load-storage collaborative optimization scheduling model of IEHS considering ladder carbon trading mechanism is established, and the influence of carbon trading mechanism on energy scheduling is analyzed through three typical scenarios, as well as the effect of flexible load and energy storage on IEHS carbon reduction and cost reduction. The research results show that under the consideration of ladder carbon trading mechanism, the source-load-storage collaborative optimization can effectively reduce the comprehensive cost of the system.