with　the　increase　of　wind　power　penetration,　the　influence　of　large-scale　wind　power　integration　on　the　static　voltage　security　of　power　network　is　ever-increasing.　In　this　case,　accommodation　level　of　wind　power　will　directly　lead　to　the　change　of　the　voltage　level　at　each　node　in　the　network.　In　order　to　meet　the　static　voltage　safety　of　the　power　network,　energy　saving　and　emission　reduction　by　the　integration　of　wind　power,　a　multi-objective　wind　power　accommodation　optimization　model　is　proposed　in　view　of　the　safety　of　network　voltage.　In　this　model,　the　optimal　cost　of　energy　consumption　and　the　highest　voltage　security　are　taken　as　the　targets,　and　the　multi-objective　quantum　particle　swarm　optimization　(QPSO)　algorithm　is　used　to　obtain　the　optimal　wind　power　accommodation　level.　The　model　is　analyzed　and　verified　based　on　IEEE-30　bus.　The　results　show　that　the　model　is　feasible　and　effective.　©　2018　IEEE.