第47卷第2期电网技术Vol.47No.22023年2月PowerSystemTechnologyFeb.2023文章编号：1000-3673（2023）02-0709-13中图分类号：TM721文献标志码：A学科代码：470·40电力系统中时序场景生成和约简方法研究综述董骁翀1，张姝1，李烨2，王新迎2，蒲天骄2，孙英云1（1．新能源电力系统国家重点实验室(华北电力大学)，北京市昌平区102206；2．中国电力科学研究院有限公司，北京市海淀区100192）ReviewofPowerSystemTemporalScenarioGenerationandReductionMethodsDONGXiaochong1,ZHANGShu1,LIYe2,WANGXinying2,PUTianjiao2,SUNYingyun1(1.StateKeyLaboratoryofAlternateElectricalPowerSystemWithRenewableEnergySources(NorthChinaElectricPowerUniversity),ChangpingDistrict,Beijing102206,China;2.ChinaElectricPowerResearchInstitute,HaidianDistrict,Beijing100192,China)1ABSTRACT:Withthepromotionofenergytransformation,thepenetrationofrenewableenergyandnovelloadiscontinuouslyincreasing,whichbringsgreatchallengestothesecurityandeconomicoperationofthepowersystem.Accuratemodelingoftheuncertainfactorsinthepowersystemisthebasisofensuringthesafeandstableoperationofthenewgenerationpowersystem.Thekeytopromotingthedevelopmentofuncertainoptimizationinpowersystemsismodelingofuncertainfactorsusingthetemporalscenariogenerationandthereductionmethods.Themethodsofscenariogenerationandscenarioreductionarethoroughlydiscussedinthispaper.Tobeginwith,thefundamentalconceptsofscenariogenerationinpowersystemsarepresentedfromthestandpointsoftheresearchobjectsandamathematicalproblem.Secondly,theexistingresearchmethods,evaluationindexesandtypicalapplicationscenariosofthescenariogenerationandreductioninthepowersystemaresummarized.Finally,theproblemsexistinginthecurrentresearchesareinduced,andthefuturedevelopmenttrendsandchallengesareprospected.KEYWORDS:scenariogeneration;scenarioreduction;uncertainty;stochasticprogramming;probabilisticmodel摘要：随着能源转型的推进，可再生能源以及新型负荷的渗透率不断提高，其引入的不确定性给电力系统安全与经济运行带来极大的挑战。对电力系统中不确定性因素精确建模是保证新一代电力系统安全稳定运行的基础。采用时序场景生成和约简技...
