Building　wind　power　time　series　considering　the　correlation　of　wind　farms　is　of　great　significance　to　medium　and　long-term　planning,　annual/monthly　dispatch　and　safe　and　stable　operation　of　power　system.　This　paper　presents　a　novel　modeling　method　of　simulated　time　series　considering　the　fluctuation　trend　and　correlation　of　multi-wind　farm　output.　On　the　basis　of　quantitative　expression　of　fluctuation　characteristics,　this　paper　pairs　specific　fluctuations.　Meanwhile,　the　Logistic　function　is　firstly　used　to　fit　the　rising　and　falling　segments　of　wind　power　low　frequency　series,　which　solves　the　problems　of　traditional　Gauss　function　in　fitting　asymmetric　fluctuation　process.　At　the　same　time,　the　correlation　between　wind　time　series　is　analyzed　from　the　new　point　of　view　that　the　parameters　of　fluctuation　process　are　correlated,　and　the　Copula　model　among　various　fitting　parameters　is　established.　The　effectiveness　and　accuracy　of　the　proposed　method　are　verified　by　simulation　analysis.　©　2019　IEEE.