浙江电力2025，Vol.44Issue(9)：102-116,15.DOI:10.19585/j.zjdl.202509010
基于DRO-MORO的柔性互联配电网多时间尺度优化调度
Multi-timescale optimal scheduling of flexible interconnected distribution networks based on DRO-MORO
摘要
Abstract
To address the uncertainties introduced by the integration of large-scale distributed generation(DG)and loads in flexible interconnected distribution networks,this paper proposes a multi-timescale optimal scheduling model incorporating multi-scenario analysis while considering the output characteristics of diverse resource types.First,multi-scenario analysis is employed to simulate and analyze the uncertainties associated with wind and PV power generation and load.For the day-ahead scheduling stage,a two-stage distributionally robust optimization(DRO)model is established,accounting for the charging/discharging characteristics of energy storage,the start-stop behavior of micro gas turbines,and the switching states of capacitor banks.For the intraday scheduling stage,a multi-objective rolling optimization(MORO)model is formulated.Subsequently,the 1-norm and ∞-norm are em-ployed to identify the worst-case probability distribution,while the column-and-constraint generation(C&CG)algo-rithm and multi-objective particle swarm optimization(MOPSO)are applied to solve the day-ahead and intraday scheduling models,respectively.Finally,simulation tests on a modified IEEE 28-node test system demonstrate that the proposed scheduling model effectively reduces operational costs under extreme conditions while enhancing power supply reliability in flexible distribution networks.关键词
多时间尺度/分布鲁棒优化/不确定性/智能软开关Key words
multi-timescale/DRO/uncertainty/intelligent soft switching引用本文复制引用
王小明,徐斌,倪静怡,宋浩杰,陈智华,吴红斌..基于DRO-MORO的柔性互联配电网多时间尺度优化调度[J].浙江电力,2025,44(9):102-116,15.基金项目
安徽省高校协同创新项目(GXXT-2022-023) （GXXT-2022-023）
国网安徽省电力有限公司科技项目(B3120524001L) （B3120524001L）
