The　cooperation　of　wind　farms　may　reduce　risks　from　the　wind　power　uncertainty.　This　paper　proposes　a　two-stage　operation　optimization　for　a　grid-connected　wind　farm　cluster　with　shared　energy　storage.　Firstly,　the　uncertain　cost　sharing　formula　of　wind　farms　based　on　the　improved　Shapley　value　is　invented.　Secondly,　a　day-ahead　scheduling　model　for　the　wind　farm　cluster　and　the　shared　energy　storage　is　established　based　on　the　Nash　negotiation　model　and　the　cooperative　cost　sharing　mechanism.　Then　combined　with　the　day-ahead　scheduling　results　and　the　deviation　cost,　a　real-time　scheduling　rolling　optimization　model　is　built　considering　the　influence　of　the　wind　power　prediction　errors.　Finally,　the　rationality　of　this　two-stage　operation　model　is　verified　by　example　analysis.　The　results　show　that　the　cooperative　relationship　between　the　wind　farms　effectively　reduces　the　operating　cost　of　the　wind　farm　cluster.　The　collaboration　model　makes　the　two-stage　scheduling　results　for　each　wind　farm　objective　and　fair,　which　can　guarantee　the　fairness　of　the　cooperation　benefits　and　improve　the　operating　income　of　each　member.　©　2022　Power　System　Technology　Press.　All　rights　reserved.