To　evaluate　the　impact　of　the　uncertainty　of　large-scale　renewable　distributed　generation　and　flexible　load　on　distribution　network　line　congestion,　a　scheduling　management　method　considering　the　aversion　of　different　degrees　of　out　of　limit　risk　and　the　resistance　to　potential　congestion　risk　outside　the　confidence　interval　is　proposed　based　on　utility　theory　and　flexibility.　The　congestion　risk　assessment　model　is　constructed　by　integrating　the　three　factors　of　distribution　line　congestion　probability,　congestion　severity　and　risk　aversion.　The　line　blocking　type　is　defined　by　the　power　transmission　direction　of　the　blocking　line.　The　actual　impact　caused　by　line　blocking　is　considered　in　different　regions,　and　the　blocking　resistance　level　of　the　system　is　reflected　in　the　response　degree　of　the　flexible　supply　capacity　of　the　gas　turbine,　the　energy　storage　system　and　the　interruptible　load　to　the　potential　blocking　risk　outside　the　confidence　interval.　The　economic　benefits　of　the　distribution　network　are　reflected　by　the　network　loss　of　the　distribution　system,　and　the　scale　benefits　of　distributed　generation　are　presented　by　the　benefits　of　virtual　power　plants.　A　multi-objective　optimization　model　for　safe　and　economic　dispatching　of　the　distribution　system　is　constructed.　Finally,　based　on　the　analysis　and　verification　of　the　proposed　model　based　on　the　IEEE33　node　system.　The　results　show　that　the　day　ahead　scheduling　scheme　based　on　this　method　can　effectively　reduce　system　congestion　risk　and　enhance　the　ability　to　resist　potential　congestion　risk　while　taking　account　of　economic　benefits.　©　2022　Power　System　Protection　and　Control　Press.　All　rights　reserved.