The　uncertainty　of　distributed　energy　generation　and　the　uncertainty　risk　of　system　components　failure　are　important　means　to　ameliorate　the　economy　and　reliability　of　Active　Distribution　Network　(ADN).　In　this　paper,　a　two-stage　optimal　scheduling　method　for　ADN　considering　uncertainty　risk　is　proposed.　Considering　the　uncertainty　risk　of　renewable　resources,　load　and　electricity　price,　and　the　uncertainty　risk　of　system　component　failure,　the　two-stage　optimal　dispatching　process　of　ADN　with　energy　storage　system　is　investigated.　Firstly,　the　first　stage　model　is　established　to　minimize　the　cost　of　operation　of　ADN　under　normal　operation　conditions,　and　then　the　second　stage　model　is　established　to　minimize　the　load　reduction　under　emergency　operation.　Particle　Swarm　Optimization　(PSO)　algorithm　is　proposed　for　model　optimization.　The　simulation　outcomes　on　IEEE-33　bus　system　simulation　demonstrated　high　effectiveness　of　the　proposed　method.　(C)　2021　The　Authors.　Published　by　Elsevier　Ltd.