In　this　paper,　the　output　distribution　of　each　wind　farm　is　combined　by　the　Gumbel　Copula　function,　and　the　output　characteristics　of　the　wind　farm　group　are　modeled　in　order　to　obtain　the　output　distribution　of　it　in　each　period.　Then,　the　sequential　power　curve　of　the　clustered　wind　farm　obtained　by　Latin　hypercube　sampling　is　converted　into　the　sustained　output　curve　of　the　wind　farm.　On　this　basis,　a　joint　optimization　model　of　power　transmission　capacity　and　storage　power　allocation　which　can　reflect　comprehensive　income　of　transmission　project　is　constructed　by　considering　the　transmission　revenue,　construction　cost　of　transmission　project,　storage　cost　and　loss　of　abandoned　wind　caused　by　transmission　congestion.　The　results　of　case　verify　that　the　optimization　model　proposed　in　this　paper　not　only　reduces　the　investment　cost　of　transmission　engineering,　but　also　improves　the　comprehensive　income　of　transmission　project.　©　2017　IEEE.