The　increasing　penetration　of　renewable　energy　brings　great　challenges　to　the　planning　and　operation　of　power　systems.　To　deal　with　the　fluctuation　of　renewable　energy,　the　main　focus　of　current　research　is　on　incorporating　the　detailed　operation　constraints　into　generation　expansion　planning　(GEP)　models.　In　most　studies,　the　traditional　objective　function　of　GEP　is　to　minimize　the　total　cost　(including　the　investment　and　operation　cost).　However,　in　power　systems　with　high　penetration　of　renewable　energy,　more　attention　has　been　paid　to　increasing　the　utilization　of　renewable　energy　and　reducing　the　renewable　energy　curtailment.　Different　from　the　traditional　objective　function,　this　paper　proposes　a　new　objective　function　to　maximize　the　accommodation　of　renewable　energy　during　the　planning　horizon,　taking　into　account　short-term　operation　constraints　and　uncertainties　from　load　and　renewable　energy　sources.　A　power　grid　of　one　province　in　China　is　modified　as　a　case　study　to　verify　the　rationality　and　effectiveness　of　the　proposed　model.　Numerical　results　show　that　the　proposed　GEP　model　could　install　more　renewable　power　plants　and　improve　the　accommodation　of　renewable　energy　compared　to　the　traditional　GEP　model.