中国电力2026，Vol.59Issue(9)：39-66,28.DOI:10.11930/j.issn.1004-9649.202605069
多源不确定性下分布式能源系统鲁棒优化调度方法综述
Review on robust optimization scheduling methods for distributed energy systems under multi-source uncertainties
摘要
Abstract
With the rapid penetration of distributed renewable generation,energy storage and heterogeneous loads,the scheduling of distributed energy systems(DESs)exhibits complex operational characteristics featured by deep coupling of multi-energy flows,multi-timescale dynamic coordination,and multi-agent interactions.Multi-source uncertainties propagate and disturb across energy carriers and time horizons,reducing system safety margins and increasing the difficulty of maintaining feasible system operation.As a result,DES scheduling is driven to evolve from deterministic cost-oriented optimization toward risk-aware and feasibility-guaranteed robust decision-making.Firstly,this paper summarizes the scheduling modeling framework for DESs.Combined with the propagation characteristics of uncertain disturbances in multi-energy conversion chains and network constraints,the main sources of uncertainties as well as their cross-carrier and cross-time-horizon propagation features are systematically analyzed.Secondly,modeling paradigms including scenario sets,uncertainty sets and distributional ambiguity sets are summ-arized,and their different impacts on scheduling feasibility and risk control are compared.Special emphasis is placed on the model formulation,solution methodologies and applicable scenarios of robust optimization,multi-stage adaptive robust optimization and distributionally robust optimization for DES scheduling.Key issues including non-anticipativity,full-scenario feasibility,conservativeness control and out-of-sample risk management are elaborated,together with their application boundaries concerning safety,economy and data dependence in DESs.Finally,future research directions for robust scheduling of DESs under uncertainties are discussed.关键词
分布式能源系统/不确定性调度/鲁棒优化/全场景可行/分布鲁棒优化Key words
distributed energy systems/uncertainty-aware scheduling/robust optimization/full-scenario feasibility/distributionally robust optimization引用本文复制引用
董玉琛,杨仑,曹晓宇,管晓宏..多源不确定性下分布式能源系统鲁棒优化调度方法综述[J].中国电力,2026,59(9):39-66,28.基金项目
智能电网国家科技重大专项(2030)资助项目(2026ZD0811000) （2030）
国家自然科学基金资助项目(52307138,62373294). This work is supported by Smart Grid National Science and Technology Major Project(No.2026ZD0811000),and National Natural Science Foundation of China(No.52307138 and 62373294). （52307138,62373294）
