Soft　Open　Point　(SOP)　is　a　new　type　of　fully　controlled　power　electronic　device.　The　use　of　SOPs　can　greatly　improve　the　efficiency,　flexibility,　and　controllability　of　distribution　networks.　However,　considering　that　SOPs　are　expensive　and　have　high　maintenance　costs,　the　installation　capacity　and　location　of　SOPs　need　to　be　optimized.　In　this　paper,　we　propose　an　SOP　optimization　configuration　method　considering　the　stochasticity　and　correlation　of　wind　and　PV　power　generation.　First,　considering　the　uncertainty　and　negative　correlation　of　wind　and　PV　power　output,　the　probability　density　distribution　function　is　generated　using　Copula　theory　and　historical　data.　Then,　the　optimal　location　of　the　SOPs　is　determined　by　a　cluster　discovery　algorithm　and　the　Power　Loss　Sensitivity　Index　(PLSI).　Finally,　the　capacity　of　the　SOP　is　determined　by　minimizing　the　integrated　cost　of　the　network　over　a　year,　and　the　capacity　of　the　SOP　is　solved　by　the　conic　curve　programming　method.　The　superiority　of　the　proposed　method　is　verified　in　this　study　at　the　IEEE-33　node　test　system.　©　Published　under　licence　by　IOP　Publishing　Ltd.