In　recent　years,　typhoons　and　rainstorms　have　increasingly　become　the　typical　natural　disasters　that　affect　the　safe　and　stable　operation　of　distribution　networks　in　coastal　cities.　To　effectively　cope　with　the　influence　of　extreme　disasters,　a　multi-stage　resilience　enhancement　strategy　is　proposed　for　distribution　networks,　considering　the　spatiotemporal　uncertainty　of　typhoon　rainstorm　disasters.　Firstly,　the　disaster　scenarios　are　simulated　according　to　the　historical　data　of　typhoons,　and　the　failure　probability　of　distribution　lines　is　calculated　to　construct　an　uncertainty　set　for　the　typhoon　rainstorm　disaster　attack.　On　this　basis,　combined　with　the　non-anticipativity　characteristics　of　the　power　system　scheduling　process,　a　multi-stage　robust　optimization　model　based　on　the　uncertainty　set　above　is　established.　Secondly,　a　pre-extended　robust　dual　dynamic　programming　algorithm　is　developed　for　solving.　Then,　the　pre-disaster　defense　strategies　and　well-trained　worst-case　cost-to-go　functions　during　disasters　are　obtained,　which　can　solve　the　emergency　response　strategies　for　each　period　of　extreme　disasters.　As　a　result,　the　optimal　resilience　enhancement　strategies　for　distribution　networks　have　been　made　in　an　organic　combination　of　offline　training　and　online　application.　Finally,　the　test　systems　for　distribution　networks　with　different　scales　are　used　to　verify　the　effectiveness　of　the　proposed　model　and　method.　©　2025　Power　System　Technology　Press.　All　rights　reserved.