基于改进两阶段鲁棒优化的区域综合能源系统经济调度

针对光伏出力及负荷的不确定性对系统日前经济调度和实时运行的影响,提出了一种以期望场景下最优,任意场景下可行的改进两阶段鲁棒优化方法,解决经典两阶段鲁棒优化存在的保守性问题。建立一种考虑可再生能源和负荷波动的区域综合能源系统改进两阶段鲁棒优化经济调度模型,通过列约束生成算法将目标函数分解为主问题和子问题进行反复迭代求解。模型第一阶段(主问题)以日前经济调度成本为目标函数,制定出包含系统设备出力、天然气供气计划的日前调度方案。在此基础上,第二阶段(子问题)以实时运行下调整成本为目标函数,通过调整设备出力应对系统中不确定波动。最后,以冬季某区域综合能源系统进行算例仿真,验证模型的有效性。#$NL关键词：区域综合能源系统；不确定性；改进鲁棒优化；经济调度

Economic dispatching of regional integrated energy system based on improvement two-stage robust optimization

In view of the impact of the uncertainty of PV output and load on the day-ahead economic dispatch and real-time operation of the system, an improvement two-stage robust optimization method is proposed, which is optimal under the ideal scenario and feasible in any scenario and solving the conservative problem of classical two-stage robust optimization. An improvement two-stage robust optimization economic dispatching model for regional integrated energy systems considering renewable energy and load fluctuations is established, the column constraint generation algorithm is used to decompose the objective function into main problems and sub-problems. The first stage of the model (the main problem) takes the day-ahead economic dispatching cost as the objective function, and formulates a day-ahead dispatching plan including the system equipment output and the natural gas supply plan. On this basis, the second stage (sub-problem) takes the adjustment cost in real-time operation as the objective function, and adjusts the equipment output to cope with the uncertain fluctuations in the system. Finally, the simulation of a integrated energy system in a certain area in winter is carried out to verify the validity of the model.