The　development　of　DC　distribution　network　technology　has　provided　a　more　efficient　way　for　renewable　energy　accommodation　and　flexible　power　supply.　A　two-stage　stochastic　scheduling　model　for　the　hybrid　AC/DC　distribution　network　is　proposed　to　study　the　active-reactive　power　coordinated　optimal　dispatch.　In　this　framework,　the　wind　power　scenario　set　is　utilized　to　deal　with　its　uncertainty　in　real　time,　which　is　integrated　into　the　decision-making　process　at　the　first　stage.　The　charging/discharging　power　of　ESSs　and　the　transferred　active/reactive　power　by　VSCs　can　be　adjusted　when　wind　power　uncertainty　is　observed　at　the　second　stage.　Moreover,　the　proposed　model　is　transformed　into　a　mixed　integer　second-order　cone　programming　optimization　problem　by　linearization　and　second-order　cone　relaxation　techniques　to　solve.　Finally,　case　studies　are　implemented　on　the　modified　IEEE　33-node　AC/DC　distribution　system　and　the　simulation　results　demonstrate　the　effectiveness　of　the　proposed　stochastic　scheduling　model　and　solving　method.