The　battery　energy　storage　system　(BESS)　plays　a　significant　role　in　peak　load　shifting　for　power　system　with　high　penetration　of　wind　turbine　(WT).　However,　the　intermittence　and　uncertainty　of　WT　will　lead　to　frequent　charge　and　discharge　of　the　BESS,　which　accelerates　its　degradation　process　and　shortens　its　service　life.　In　this　paper,　we　propose　a　two-layer　receding-horizon　optimal　control　strategy　considering　peak　load　shifting　and　the　degradation　cost　of　BESS　to　effectively　shift　peak　load　with　minimum　economic　cost.　Because　of　the　different　dimensions　of　peak　load　shifting　and　the　economic　cost,　the　economic　conversion　coefficient　is　introduced　to　project　the　peak　load　shifting　into　the　economic　dimension.　In　addition,　the　degradation　cost　of　BESS　considering　the　depth　of　charge　(DOD)　and　lifetime　is　modeled.　To　further　deal　with　the　uncertainties,　a　two-layer　receding-horizon　optimal　model　is　proposed,　which　improves　the　performance　of　BESS　participating　in　peak　load　shifting.　The　upper　layer　minimizes　the　total　cost　of　the　system　via　multi-step　rolling,　and　the　lower　layer　traces　and　modifies　the　scheduling　results　of　the　upper　layer.　Finally,　the　modified　Garver　6　bus　system　is　used　in　the　test　case.　The　simulation　results　demonstrate　the　effectiveness　of　the　peak　load　shifting　model　and　the　two-layer　receding-horizon　optimization　strategy.　Moreover,　the　effect　of　the　economic　conversion　coefficient　on　economic　cost　and　peak　load　shifting　is　analyzed.　©　2021　IEEE.