计及灵活性需求偏差的综合能源系统分布鲁棒优化调度

Distributed Robust Optimal Dispatch of Integrated Energy System Considering Flexibility Demand Deviation

为了分析分布式新能源和需求侧灵活响应资源的不确定性对综合能源系统(IES)的影响:首先,建立了IES灵活性供需模型;其次,构建了基于场景概率驱动的IES两阶段分布鲁棒优化模型;最后,采用列与约束生成算法进行迭代求解,通过仿真验证了该模型和求解算法的有效性。相较于传统的IES优化调度,其所提模型减少了系统的总运行成本,提升了系统的灵活性。

In order to better consider the impact of the uncertainty of distributed new energy sources and the demand-side flexible response resources on the integrated energy system,firstly,the IES flexibility supply and demand model is established.Secondly,the IES two-stage distributed robust optimization model is constructed based on scenario probability driven.Finally,the Column and Constraint Generation(CCG)algorithm is used for iterative solution.The effectiveness of the proposed model and solution algorithm is verified by simulation analysis.Compared with traditional IES optimization scheduling,the model proposed in this paper reduces the total operating cost of the system and improves the flexibility of the system.