Due　to　the　fluctuation　and　intermittent　of　wind　power,　large-scale　wind　power　grid　connection　makes　the　contradiction　between　the　spinning　reserve　benefit　and　risk　more　prominent.　The　capacity　cost　and　the　energy　cost　of　the　system　up　and　down　spinning　reserve,　the　reduced　power　loss　due　to　the　purchase　of　up　spinning　reserve　and　the　reduced　wind　loss　due　to　the　purchase　of　the　down　spinning　reserve　are　considered.　To　establish　the　spinning　reserve　benefit-risk　model　of　wind　power　integrated　system　based　on　conditional　value　at　risk(CVaR)　with　the　goal　of　maximum　expected　spinning　reserve　benefit　and　minimum　CVaR　value　of　system　loss.　Monte　Carlo　method　is　used　to　simulate　the　actual　load　power　and　wind　power　prediction　error,　and　the　multi-objective　particle　swarm　optimization　algorithm　is　improved　to　find　the　efficient　frontier　of　expected　spinning　reserve　benefit-risk　and　the　day-ahead　spinning　reserve　plan,　and　the　influence　of　different　reliability　level　and　confidence　level　on　expected　spinning　reserve　benefit　and　risk.　Finally,　the　example　shows　the　feasibility　of　the　model　and　the　algorithm.　©　2017,　The　editorial　office　of　Transaction　of　China　Electrotechnical　Society.　All　right　reserved.