The　increasing　number　of　residential　buildings　that　are　installing　distributed　energy　resources　enforces　the　need　for　schemes　to　facilitate　a　local　energy　balance.　With　the　continuing　evolution　of　Internet　of　Things　(IoT)　technology,　Peer-to-Peer　(P2P)　energy　trading　is　becoming　a　viable　solution　to　incentivize　prosumers　and　promote　efficient　energy　sharing　in　a　community.　This　paper　develops　a　model　to　quantitatively　analyze　the　potential　benefits　of　P2P　energy　trading　for　residential　buildings　that　have　installed　photovoltaic　battery　systems.　The　integration　of　the　bidding　strategy　into　a　residential　energy-management　system　is　feasible　to　realize　cost　savings　for　prosumers.　However,　the　coordination　between　the　bidding　strategy　and　the　optimal　scheduling　of　energy　has　received　far　too　little　attention.　To　better　participate　in　the　P2P　market,　we　propose　a　novel　separate　bidding　energy-management　system　(SBEMS)　that　can　realize　rolling　optimal　energy　scheduling　while　determining　energy　bids.　The　model＇s　effectiveness　is　verified　via　case　studies　of　75　participants　in　a　community.　The　results　indicate　that　the　prosumers　can　reduce　their　costs　by　up　to　24%　by　employing　the　proposed　SBEMS　in　the　P2P　market.　In　addition,　the　proposed　method　is　found　to　offer　better　performance　in　terms　of　economic　and　technical　indices.